Triple
T12959421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway de Tours |
E310099
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object |
Line A
Line A is the main tram line of the Tours tramway system in Tours, France, providing north–south light rail transit across the city.
|
E1012820
|
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 A | Statement: [Tramway de Tours, line, Line A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line A Context triple: [Tramway de Tours, line, Line A]
-
A.
Line A
Line A is a line of the Mexico City Metro system that serves the eastern part of the metropolitan area, connecting central Mexico City with several suburban municipalities.
-
B.
Line A
Line A is the main north–south rapid transit line of the Medellín Metro system in Colombia, serving as its busiest and most central corridor.
-
C.
Line A
Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
-
D.
Line A
Line A is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key urban and suburban areas.
-
E.
Line A
Line A is one of the main lines of the Prague Metro, running east–west through the city and serving several central and residential districts.
- 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 A Triple: [Tramway de Tours, line, Line A]
Generated description
Line A is the main tram line of the Tours tramway system in Tours, France, providing north–south light rail transit across the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line A Target entity description: Line A is the main tram line of the Tours tramway system in Tours, France, providing north–south light rail transit across the city.
-
A.
Line A
Line A is a principal route of the Orléans tramway system in France, providing urban light rail transit across key areas of the city.
-
B.
Line A
Line A is one of the main routes of the Strasbourg tramway network, providing key light-rail transit across the city.
-
C.
Line A
Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
-
D.
Line A
Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
-
E.
Line A
Line A is one of the main lines of the Prague Metro, running east–west through the city and serving several central and residential districts.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e006cc819091e5f4b044cadea4 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dac2c88190850304023f156969 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 5:44 p.m.