Triple
T8304140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line U |
E194418
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | La Verrière |
E601933
|
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: La Verrière | Statement: [Line U, terminus, La Verrière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Verrière Context triple: [Line U, terminus, La Verrière]
-
A.
La Verrière
chosen
La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
D.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
-
E.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e8b9f6081909100d1da8a078616 |
completed | March 31, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6dc4008819084eff0960917494c |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:53 p.m.