Triple

T13073267
Position Surface form Disambiguated ID Type / Status
Subject Republic Act No. 4221 E329505 entity
Predicate formerProvince P25984 FINISHED
Object Samar E66623 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: Samar | Statement: [Republic Act No. 4221, formerProvince, Samar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samar
Context triple: [Republic Act No. 4221, formerProvince, 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 (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_69fed314bb9481908144c5399aa62ffa completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 9 p.m.