Triple

T6288754
Position Surface form Disambiguated ID Type / Status
Subject Samar Sea E140962 entity
Predicate adjacentTo P224 FINISHED
Object Leyte Province E32776 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: Leyte Province | Statement: [Samar Sea, adjacentTo, Leyte Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leyte Province
Context triple: [Samar Sea, adjacentTo, Leyte Province]
  • A. Leyte chosen
    Leyte is a large island province in the Eastern Visayas region of the Philippines, known for its rich cultural traditions and historical significance, including major World War II events.
  • B. Province of Leyte
    The Province of Leyte is a large island province in the Eastern Visayas region of the Philippines, known for its historical role in World War II and its capital city, Tacloban.
  • C. Samar Province
    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.
  • D. Province of Bohol
    The Province of Bohol is a central Philippine island province known for its Chocolate Hills, tarsier sanctuaries, and rich cultural and historical heritage.
  • E. Guimaras
    Guimaras is a small island province in the Philippines known for its mango production, coastal scenery, and predominantly Hiligaynon-speaking population.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064182f60819093a8313e1dbf2763 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e406787881908648872228d6eac9 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:26 p.m.