Triple

T18523761
Position Surface form Disambiguated ID Type / Status
Subject Valeriano Abanador E452659 entity
Predicate placeOfActivity P1527 FINISHED
Object Samar 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: Samar | Statement: [Valeriano Abanador, placeOfActivity, Samar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samar
Context triple: [Valeriano Abanador, placeOfActivity, 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
    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. Pomorye
    Pomorye is a historical coastal region of northern Russia along the White Sea, traditionally inhabited by the Pomors and known for maritime trade and exploration.
  • E. Samar Province chosen
    Samar Province is a largely rural island province in the Eastern Visayas region of the Philippines, known for its rugged landscapes, caves, and strong Waray-speaking cultural heritage.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533908b0c81908725baf828aa46ff completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.