Triple
T9821280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eure-et-Loir |
E238535
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Loir |
E68625
|
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: Loir | Statement: [Eure-et-Loir, containsRiver, Loir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loir Context triple: [Eure-et-Loir, containsRiver, Loir]
-
A.
Loir
chosen
The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
-
B.
Loing
The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
-
C.
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.
-
D.
Allier River
The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
-
E.
Loiret
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.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3147ecc81908cfca84c05a367d9 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5424a26688190a49c3920d0edb546 |
completed | April 19, 2026, 8:59 p.m. |
Created at: March 30, 2026, 8:31 p.m.