Triple
T23319882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabtang |
E591121
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Savidug |
—
|
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: Savidug | Statement: [Sabtang, hasSettlement, Savidug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savidug Context triple: [Sabtang, hasSettlement, Savidug]
-
A.
Savidug
chosen
Savidug is a small coastal barangay on Sabtang Island in Batanes, Philippines, known for its traditional stone houses and scenic seascapes.
-
B.
Dugu
Dugu is a semi-legendary figure sometimes cited as an early founder of the Sayfawa dynasty, the long-ruling royal house of the Kanem-Bornu Empire in Central Africa.
-
C.
Beldibi
Beldibi is a coastal resort village in Turkey’s Antalya Province, known for its beaches, forested mountain backdrop, and proximity to ancient ruins and natural attractions.
-
D.
Davigo
Davigo is an Italian surname most notably associated with Piercamillo Davigo, a prominent magistrate and former member of Italy’s anti-corruption "Mani Pulite" (Clean Hands) investigation.
-
E.
Daggubati
Daggubati is an Indian family name notably associated with a prominent film-producing and acting dynasty in the Telugu cinema industry.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978440888190b316664812105d60 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.