Triple
T12251273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orléanais |
E291975
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Gien |
E241345
|
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: Gien | Statement: [Orléanais, containsCity, Gien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gien Context triple: [Orléanais, containsCity, Gien]
-
A.
Gien
chosen
Gien is a commune in north-central France known for its historic faience (earthenware) production and its location along the Loire River.
-
B.
Sainte-Ode
Sainte-Ode is a rural municipality in the Walloon region of Belgium, known for its forests, farmland, and small villages in Luxembourg Province.
-
C.
Liévin
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.
-
D.
Gerland
Gerland is a district in the 7th arrondissement of Lyon, France, known for its former stadium, biotechnology and research centers, and mixed residential-industrial character.
-
E.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc6983c81909bf479d15879a357 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e620ed88190b46d256ebe994714 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.