Triple
T9505452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarthe |
E229256
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Allonnes |
E410220
|
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: Allonnes | Statement: [Sarthe, contains, Allonnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allonnes Context triple: [Sarthe, contains, Allonnes]
-
A.
Allonnes
chosen
Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
-
B.
Escoutoux
Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
-
C.
Charpennes
Charpennes is a prominent urban district in the Lyon metropolitan area, known for its major transport hub and dense residential and commercial activity.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
Weiler-la-Tour
Weiler-la-Tour is a small commune and village in southeastern Luxembourg, known for its rural character and proximity to the capital city, Luxembourg City.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9850fe6c8190a5a96cfae12562c6 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af37e78081909683ce5359a8eb0e |
completed | April 5, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:57 p.m.