Triple
T13984753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T10 |
E336408
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Tramway T6 |
E357458
|
NE FINISHED |
How this triple was built (2 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: Tramway T6 | Statement: [Tramway T10, connectsWith, Tramway T6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tramway T6 Context triple: [Tramway T10, connectsWith, Tramway T6]
-
A.
Tramway T6
chosen
Tramway T6 is a light rail line in the Paris metropolitan area that connects Châtillon to Viroflay, serving southwestern suburbs of Île-de-France.
-
B.
Tramway T12 Express
Tramway T12 Express is a regional light rail line in the southern suburbs of Paris that connects Massy-Palaiseau to Évry-Courcouronnes, improving suburban east–west transit in Île-de-France.
-
C.
Tramway T1
Tramway T1 is a major light rail line in the Paris metropolitan area that serves the northern suburbs as part of the Île-de-France public transport network.
-
D.
Tramway T2
Tramway T2 is a Paris-region light rail line connecting La Défense to Porte de Versailles via western suburbs such as Saint-Cloud.
-
E.
Tramway T13 Express
Tramway T13 Express is a regional express tram-train line in the Île-de-France area that connects suburban communities with Paris’s wider public transport network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac942ba481908858d7f214085b5f |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.