Triple
T12454519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U1 line |
E297621
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Frankfurt Nordwestzentrum vicinity
Frankfurt Nordwestzentrum vicinity is an urban area in Frankfurt am Main centered around the Nordwestzentrum shopping and residential complex, featuring dense housing, commercial facilities, and public transit connections.
|
E983708
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frankfurt Nordwestzentrum vicinity | Statement: [U1 line, serves, Frankfurt Nordwestzentrum vicinity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankfurt Nordwestzentrum vicinity Context triple: [U1 line, serves, Frankfurt Nordwestzentrum vicinity]
-
A.
Bahnhofsviertel (Frankfurt am Main)
Bahnhofsviertel (Frankfurt am Main) is a central Frankfurt district known for its dense mix of offices, nightlife, red-light area, diverse immigrant culture, and proximity to the city’s main railway station.
-
B.
Frankfurt-Sachsenhausen
Frankfurt-Sachsenhausen is a historic district of Frankfurt am Main, Germany, known for its traditional apple wine taverns, cobbled streets, and prominent museums along the Museumsufer.
-
C.
Altstadt (Frankfurt am Main)
Altstadt (Frankfurt am Main) is the historic old town district of Frankfurt, Germany, known for its reconstructed medieval streets, traditional architecture, and major cultural landmarks.
-
D.
Innenstadt (Frankfurt am Main)
Innenstadt (Frankfurt am Main) is Frankfurt’s central city district, encompassing the main commercial, financial, and shopping areas around the historic core and major transport hubs.
-
E.
green belt of Frankfurt am Main
The green belt of Frankfurt am Main is a large, continuous ring of parks, forests, and recreational landscapes encircling the city, serving as a key natural and leisure area for residents and visitors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frankfurt Nordwestzentrum vicinity Triple: [U1 line, serves, Frankfurt Nordwestzentrum vicinity]
Generated description
Frankfurt Nordwestzentrum vicinity is an urban area in Frankfurt am Main centered around the Nordwestzentrum shopping and residential complex, featuring dense housing, commercial facilities, and public transit connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frankfurt Nordwestzentrum vicinity Target entity description: Frankfurt Nordwestzentrum vicinity is an urban area in Frankfurt am Main centered around the Nordwestzentrum shopping and residential complex, featuring dense housing, commercial facilities, and public transit connections.
-
A.
Bahnhofsviertel (Frankfurt am Main)
Bahnhofsviertel (Frankfurt am Main) is a central Frankfurt district known for its dense mix of offices, nightlife, red-light area, diverse immigrant culture, and proximity to the city’s main railway station.
-
B.
Frankfurt-Sachsenhausen
Frankfurt-Sachsenhausen is a historic district of Frankfurt am Main, Germany, known for its traditional apple wine taverns, cobbled streets, and prominent museums along the Museumsufer.
-
C.
Altstadt (Frankfurt am Main)
Altstadt (Frankfurt am Main) is the historic old town district of Frankfurt, Germany, known for its reconstructed medieval streets, traditional architecture, and major cultural landmarks.
-
D.
Innenstadt (Frankfurt am Main)
Innenstadt (Frankfurt am Main) is Frankfurt’s central city district, encompassing the main commercial, financial, and shopping areas around the historic core and major transport hubs.
-
E.
green belt of Frankfurt am Main
The green belt of Frankfurt am Main is a large, continuous ring of parks, forests, and recreational landscapes encircling the city, serving as a key natural and leisure area for residents and visitors.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6405f9f6481909bcc3b2e3deeae7e |
completed | May 2, 2026, 6:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.