Triple
T5705406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolomieu |
E125771
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Isère |
E62843
|
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: Isère | Statement: [Dolomieu, locatedIn, Isère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isère Context triple: [Dolomieu, locatedIn, Isère]
-
A.
Isère
chosen
Isère is a department in southeastern France known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
-
B.
Isère River
The Isère River is a significant waterway in southeastern France that flows through the Alps and the city of Grenoble before joining the Rhône.
-
C.
Ardèche
Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
-
D.
Drôme River
The Drôme River is a scenic waterway in southeastern France known for flowing through the Drôme department and the foothills of the Alps before joining the Rhône.
-
E.
Doubs
Doubs is a department in the Bourgogne-Franche-Comté region of eastern France, known for its Jura mountains, rivers, and proximity to the Swiss border.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02459cd18819080fda0b481d11f08 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845c232188190a3391ce5159f49bb |
completed | March 28, 2026, 9:18 p.m. |
Created at: March 22, 2026, 3:45 p.m.