Triple
T5584372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Hébert |
E146717
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Orne |
E123324
|
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: Orne | Statement: [Jacques Hébert, placeOfBirth, Orne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orne Context triple: [Jacques Hébert, placeOfBirth, Orne]
-
A.
Orne
chosen
Orne is a rural department in northwestern France known for its pastoral landscapes, horse breeding, and historic towns such as Alençon.
-
B.
Orne River
The Orne River is a waterway in northwestern France that flows through Normandy before emptying into the English Channel at the port town of Ouistreham.
-
C.
Olne
Olne is a small municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural character and traditional village charm.
-
D.
Tejn
Tejn is a small coastal town and fishing port on the Danish island of Bornholm in the Baltic Sea.
-
E.
River Isbourne
River Isbourne is a small river in Gloucestershire, England, flowing through the Cotswolds and the town of Winchcombe before joining the River Avon.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02085d0e48190b8d185fe7f3d8579 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2aab348190944cca5375e0ddb9 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.