Triple
T13313011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays de Caux |
E317118
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yvetot |
E238068
|
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: Yvetot | Statement: [Pays de Caux, contains, Yvetot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvetot Context triple: [Pays de Caux, contains, Yvetot]
-
A.
Yvetot
chosen
Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
-
B.
Evreux
Evreux is a historic town in northern France, known for its Gothic cathedral and role as the capital of the Eure department in Normandy.
-
C.
Condé-sur-Vire
Condé-sur-Vire is a commune in the Manche department of northwestern France, historically noted as the birthplace of the Jesuit missionary and martyr Jean de Brébeuf.
-
D.
Étrépagny
Étrépagny is a commune in the Eure department of the Normandy region in northern France.
-
E.
Pont-Audemer
Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9c0c088190ba18b5c631bcc365 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:29 p.m.