Triple
T15928497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon tram line T2 |
E386264
|
entity |
| Predicate | hasRouteNumber |
P1864
|
FINISHED |
| Object |
T2
T2 is a tram route in Lyon’s public transportation network, serving key districts between the city center and its southeastern suburbs.
|
E1184908
|
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: T2 | Statement: [Lyon tram line T2, hasRouteNumber, T2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T2 Context triple: [Lyon tram line T2, hasRouteNumber, T2]
-
A.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
B.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
C.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
-
E.
T2
T2 is a shorthand title for the 1991 science fiction action film "Terminator 2: Judgment Day," directed by James Cameron and starring Arnold Schwarzenegger.
- 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: T2 Triple: [Lyon tram line T2, hasRouteNumber, T2]
Generated description
T2 is a tram route in Lyon’s public transportation network, serving key districts between the city center and its southeastern suburbs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T2 Target entity description: T2 is a tram route in Lyon’s public transportation network, serving key districts between the city center and its southeastern suburbs.
-
A.
T2
chosen
T2 is a tram line in the Lyon public transport network that connects key districts and suburbs of the city.
-
B.
T2
T2 is one of the main lines of the Dijon tramway system in Dijon, France, providing urban light-rail transit service across the city.
-
C.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
E.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
- F. None of above.
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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a39abc8190927818f6e185033a |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe727c348190907c9e7a5db6031d |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:52 a.m.