Triple
T8844385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loiret |
E210466
|
entity |
| Predicate | hasCity |
P316
|
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: [Loiret, hasCity, Gien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gien Context triple: [Loiret, hasCity, 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.
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.
-
C.
Decize
Decize is a historic riverside town in central France situated on an island formed by the Loire and Aron rivers.
-
D.
Couvin
Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
-
E.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc608a73c88190875409fef79ffc8a |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89ad0a3c8190a2bcf9a106138835 |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.