Triple
T13537067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U5 |
E323287
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Glauburgstraße
Glauburgstraße is a station on the Frankfurt U-Bahn network in Frankfurt am Main, Germany.
|
E1057143
|
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: Glauburgstraße | Statement: [U5, servesStation, Glauburgstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glauburgstraße Context triple: [U5, servesStation, Glauburgstraße]
-
A.
Hedderichstraße
Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
-
B.
Vorbergstraße
Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
-
C.
Junghofstraße
Junghofstraße is a street in central Frankfurt am Main, Germany, located near the Taunusanlage area and its major transit connections.
-
D.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
E.
Yorckstraße
Yorckstraße is a major street and transport corridor in Berlin’s Kreuzberg and Schöneberg districts, known for its multiple S-Bahn stations and proximity to several historic cemeteries and railway viaducts.
- 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: Glauburgstraße Triple: [U5, servesStation, Glauburgstraße]
Generated description
Glauburgstraße is a station on the Frankfurt U-Bahn network in Frankfurt am Main, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glauburgstraße Target entity description: Glauburgstraße is a station on the Frankfurt U-Bahn network in Frankfurt am Main, Germany.
-
A.
Hedderichstraße
Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
-
B.
Vorbergstraße
Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
-
C.
Junghofstraße
Junghofstraße is a street in central Frankfurt am Main, Germany, located near the Taunusanlage area and its major transit connections.
-
D.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
E.
Yorckstraße
Yorckstraße is a major street and transport corridor in Berlin’s Kreuzberg and Schöneberg districts, known for its multiple S-Bahn stations and proximity to several historic cemeteries and railway viaducts.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d3d860c8190a166666a20971de7 |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f79f9b643881908fdd9e1fed8e2af4 |
completed | May 3, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a01ccda881909a76cec423e05f66 |
completed | May 3, 2026, 7:21 p.m. |
Created at: April 9, 2026, 9:45 p.m.