Triple

T10441469
Position Surface form Disambiguated ID Type / Status
Subject Apo Island E246179 entity
Predicate nearestTown P350 FINISHED
Object Dauin E253493 NE FINISHED

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: Dauin | Statement: [Apo Island, nearestTown, Dauin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dauin
Context triple: [Apo Island, nearestTown, Dauin]
  • A. Dauin chosen
    Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
  • B. Dauis
    Dauis is a coastal municipality on Panglao Island in Bohol, Philippines, known for its historic church, beaches, and proximity to popular dive sites.
  • C. Danao
    Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
  • D. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • E. Baunei
    Baunei is a coastal and mountain village in Sardinia, Italy, known for its dramatic limestone cliffs, hiking trails, and the famous Cala Goloritzé beach.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.