Triple

T23319884
Position Surface form Disambiguated ID Type / Status
Subject Sabtang E591121 entity
Predicate hasSettlement P1068 FINISHED
Object Sinakan 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: Sinakan | Statement: [Sabtang, hasSettlement, Sinakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinakan
Context triple: [Sabtang, hasSettlement, Sinakan]
  • A. Sinakan chosen
    Sinakan is a coastal barangay on Sabtang Island in the province of Batanes, Philippines, known for its traditional Ivatan stone houses and scenic seascapes.
  • B. Sikinos
    Sikinos is a small, tranquil Greek island in the Cyclades known for its traditional villages, rugged landscapes, and unspoiled, low-key tourism.
  • C. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • D. Shakotan
    Shakotan is a coastal town on Japan’s Hokkaido island, renowned for its dramatic sea cliffs, clear blue waters, and rich marine scenery.
  • E. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • 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.