Triple
T17847740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap Corse |
E445707
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Cagnano |
—
|
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: Cagnano | Statement: [Cap Corse, hasSettlement, Cagnano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cagnano Context triple: [Cap Corse, hasSettlement, Cagnano]
-
A.
Cagnano
chosen
Cagnano is a small commune on the island of Corsica in southeastern France, known for its coastal scenery and traditional Mediterranean village character.
-
B.
Canneto
Canneto is a coastal village on the island of Lipari in Italy’s Aeolian archipelago, known for its beaches and seaside promenade.
-
C.
Bocenago
Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
-
D.
Carovigno
Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
-
E.
Pegognaga
Pegognaga is a small Italian municipality in the Lombardy region, known for its agricultural landscape and traditional rural character.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffc5fec8190adc66f7b0e264d5f |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.