Triple
T18579920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avion |
E454082
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object | Liévin |
E794784
|
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: Liévin | Statement: [Avion, nearbyCommune, Liévin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liévin Context triple: [Avion, nearbyCommune, Liévin]
-
A.
Liévin
chosen
Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
-
B.
Rive-de-Gier
Rive-de-Gier is a commune in central France’s Loire department, historically known for its coal mining and glassmaking industries.
-
C.
Ville-la-Grand
Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
-
D.
Labé
Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
-
E.
Brest
Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cf33288190bc2cd6b7befde944 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f88cb7c881909911b2c28a72fcf6 |
completed | May 13, 2026, 10:17 p.m. |
Created at: April 10, 2026, 11:43 a.m.