Triple
T22559894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dives River |
E557782
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Troarn |
—
|
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: Troarn | Statement: [Dives River, hasNearbySettlement, Troarn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troarn Context triple: [Dives River, hasNearbySettlement, Troarn]
-
A.
Troarn
chosen
Troarn is a commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
C.
Pyla-sur-Mer
Pyla-sur-Mer is a seaside resort village on France’s Atlantic coast, best known as the gateway to the Dune of Pilat, the highest sand dune in Europe.
-
D.
Langreo
Langreo is a town in Asturias, Spain, known in football for being one of the early youth clubs of striker David Villa.
-
E.
Croismare
Croismare is a small commune in the Meurthe-et-Moselle department in northeastern France.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.