Triple
T16689042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Garenne-Colombes |
E405544
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | tramway T2 |
E287554
|
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 T2 | Statement: [La Garenne-Colombes, servedBy, tramway T2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tramway T2 Context triple: [La Garenne-Colombes, servedBy, tramway T2]
-
A.
Tramway T2
chosen
Tramway T2 is a Paris-region light rail line connecting La Défense to Porte de Versailles via western suburbs such as Saint-Cloud.
-
B.
tramway T7
Tramway T7 is a light rail line in the Paris Île-de-France network that links the southern suburbs, including Orly Airport, to the city’s broader public transport system.
-
C.
tramway T8
Tramway T8 is a light rail line in the Île-de-France tram network that connects northern suburbs, including Saint-Denis, to the Paris metropolitan area.
-
D.
Tram 2000
Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
-
E.
Tramway T5
Tramway T5 is a light rail line in the northern suburbs of Paris that forms part of the Île-de-France tramway network, connecting key residential and commercial areas.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a45af7c8190bfe09dd0e0573573 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.