Triple
T15309436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U7 |
E365989
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Line G
Line G is a former designation of the Paris Métro’s current Line 7, part of the rapid transit system in Paris, France.
|
E1150640
|
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: Line G | Statement: [U7, formerName, Line G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line G Context triple: [U7, formerName, Line G]
-
A.
Line K
Line K is a Medellín Metrocable gondola line that connects hillside neighborhoods to the city’s metro system as part of its integrated public transit network.
-
B.
Line F
Line F is one of the routes of the Porto Metro light rail network in Porto, Portugal, serving as part of the city's urban and suburban public transit system.
-
C.
Line F
Line F is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service within the city and its surroundings.
-
D.
Line M
Line M is a cable car line within the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
-
E.
Line B
Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
- 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: Line G Triple: [U7, formerName, Line G]
Generated description
Line G is a former designation of the Paris Métro’s current Line 7, part of the rapid transit system in Paris, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line G Target entity description: Line G is a former designation of the Paris Métro’s current Line 7, part of the rapid transit system in Paris, France.
-
A.
Line K
Line K is a Medellín Metrocable gondola line that connects hillside neighborhoods to the city’s metro system as part of its integrated public transit network.
-
B.
Line F
Line F is one of the routes of the Porto Metro light rail network in Porto, Portugal, serving as part of the city's urban and suburban public transit system.
-
C.
Line F
Line F is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service within the city and its surroundings.
-
D.
Line M
Line M is a cable car line within the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
-
E.
Line B
Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a20c1881909b387aed6f532c3d |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa339f988190b470e052c853e4f8 |
completed | May 9, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefac48df08190ad58e9d455546a57 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.