Triple
T12630101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher (department) |
E301616
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object | Mehun-sur-Yèvre |
E250378
|
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: Mehun-sur-Yèvre | Statement: [Cher (department), containsCommune, Mehun-sur-Yèvre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehun-sur-Yèvre Context triple: [Cher (department), containsCommune, Mehun-sur-Yèvre]
-
A.
Mehun-sur-Yèvre
chosen
Mehun-sur-Yèvre is a historic commune in central France known for its medieval heritage, including the remains of a royal castle and its association with King Charles VII.
-
B.
Creuse
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
-
C.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
D.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
E.
Loire-Authion
Loire-Authion is a commune in western France’s Maine-et-Loire department, formed from the merger of several smaller municipalities along the Loire River.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b1c7c081909154a59516b59d63 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 5:15 p.m.