Triple
T16902362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trévières canton |
E424467
|
entity |
| Predicate | hasCommune |
P51099
|
FINISHED |
| Object | Trévières |
E487673
|
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: Trévières | Statement: [Trévières canton, hasCommune, Trévières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trévières Context triple: [Trévières canton, hasCommune, Trévières]
-
A.
Trévières
chosen
Trévières is a commune in the Calvados department of Normandy in northwestern France, known for its proximity to the D-Day landing beaches and its World War II history.
-
B.
Trégueux
Trégueux is a commune in the Côtes-d'Armor department of Brittany in northwestern France, situated near the city of Saint-Brieuc.
-
C.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
D.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
E.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dd2bf08190b1dc099e8a23cd04 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfcedb58819087c31200c01f40b7 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:30 a.m.