Triple

T13073408
Position Surface form Disambiguated ID Type / Status
Subject Bobon E329509 entity
Predicate locatedOn P40 FINISHED
Object island of Samar E64988 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: island of Samar | Statement: [Bobon, locatedOn, island of Samar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Samar
Context triple: [Bobon, locatedOn, island of Samar]
  • A. Samar
    Samar is a surname most notably associated with Sima Samar, an Afghan human rights advocate, physician, and former minister.
  • B. Samar
    Samar is a critically acclaimed Indian film directed by Shyam Benegal that explores themes of caste, power, and social injustice in rural India.
  • C. Samar Island chosen
    Samar Island is a large island in the Eastern Visayas region of the Philippines, known for its rugged terrain, rich biodiversity, and distinct local culture.
  • D. Sulug Island
    Sulug Island is a small tropical island off the coast of Kota Kinabalu in Sabah, Malaysia, known for its beaches, clear waters, and snorkeling and diving opportunities within the Tunku Abdul Rahman Marine Park.
  • E. Samal Island
    Samal Island is a popular tropical island destination in the Davao Gulf of the southern Philippines, known for its white-sand beaches, clear waters, and numerous beach resorts.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d606ac6481908d18a288d5eed472 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.