Triple
T2582309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain |
E57120
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Rhône department |
E78793
|
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: Rhône department | Statement: [Ain, borders, Rhône department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhône department Context triple: [Ain, borders, Rhône department]
-
A.
Rhône department
chosen
The Rhône department is an administrative region in eastern France that includes the major city of Lyon and is known for its economic importance and cultural heritage.
-
B.
Jura department
The Jura department is an administrative region in eastern France known for its mountainous landscapes, forests, and lakes within the Jura Mountains.
-
C.
Isère department
Isère department is an administrative region in southeastern France, known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
-
D.
Drôme department
The Drôme department is an administrative region in southeastern France, known for its historic towns, vineyards, and proximity to the Rhône Valley.
-
E.
Ardèche department
Ardèche department is a rural administrative region in southeastern France known for its dramatic river gorges, limestone plateaus, prehistoric caves, and outdoor tourism.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83b4e09c8190909df4ba9b29d525 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:49 p.m.