Triple
T17802339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seine-Inférieure |
E444461
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Fécamp |
—
|
NE NERFINISHED |
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: Fécamp | Statement: [Seine-Inférieure, contains, Fécamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fécamp Context triple: [Seine-Inférieure, contains, Fécamp]
-
A.
Fécamp
chosen
Fécamp is a coastal town and former important fishing port in northern France, known for its historic Benedictine Palace and dramatic cliffs along the English Channel.
-
B.
Bailleul
Bailleul is a commune in northern France known for its Flemish-style architecture and location near the Belgian border.
-
C.
Sandouville
Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
-
D.
Colleville-sur-Mer
Colleville-sur-Mer is a commune in Normandy, France, best known for its location by the D-Day landing beaches and the Normandy American Cemetery.
-
E.
Isigny-sur-Mer
Isigny-sur-Mer is a coastal commune in Normandy, France, renowned for its dairy products—especially butter and cream—and its historic port.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488005a288190b7a2cffa590d2557 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.