Triple
T8844375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loiret |
E210466
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Loiret River |
E210466
|
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: Loiret River | Statement: [Loiret, river, Loiret River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loiret River Context triple: [Loiret, river, Loiret River]
-
A.
Loire
The Loire is the longest river in France, renowned for its scenic valley dotted with historic châteaux and vineyards.
-
B.
Loire
Loire is a department in central-eastern France named after the Loire River, known for its varied landscapes, industrial cities like Saint-Étienne, and historical ties to the broader Loire Valley region.
-
C.
Loiret
chosen
Loiret is a department in north-central France, named after the Loiret River and known for its historic towns and proximity to the Loire Valley.
-
D.
Essonne River
The Essonne River is a tributary of the Seine in northern France, flowing through the Île-de-France region and giving its name to the Essonne department.
-
E.
Sarthe River
The Sarthe River is a waterway in western France that flows through the regions of Normandy and Pays de la Loire before joining other rivers to form the Maine.
- 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_69d28161b6ec8190ab91f7b00995e889 |
completed | April 5, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:48 p.m.