Triple
T14651454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T1 |
E343994
|
entity |
| Predicate | servesMunicipality |
P3936
|
FINISHED |
| Object | Villeneuve-la-Garenne |
E259630
|
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: Villeneuve-la-Garenne | Statement: [Tramway T1, servesMunicipality, Villeneuve-la-Garenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeneuve-la-Garenne Context triple: [Tramway T1, servesMunicipality, Villeneuve-la-Garenne]
-
A.
Villeneuve-la-Garenne
chosen
Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
-
B.
Villeneuve-Saint-Germain
Villeneuve-Saint-Germain is a commune in the Aisne department of northern France, situated near the city of Soissons.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Gournay-le-Guérin
Gournay-le-Guérin is a small commune in the Eure department of northern France.
-
E.
Saint-Germain-du-Val
Saint-Germain-du-Val is a small French locality best known as the birthplace of the Romantic-era composer Léo Delibes.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb517e7648190b9fc73d6cdbb68de |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb168548190afb975ef60fa5f3e |
completed | May 11, 2026, 4:48 a.m. |
Created at: April 10, 2026, 1:27 a.m.