Triple

T17466538
Position Surface form Disambiguated ID Type / Status
Subject Philippine eagle E425290 entity
Predicate nativeRange P4570 FINISHED
Object Leyte 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: Leyte | Statement: [Philippine eagle, nativeRange, Leyte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leyte
Context triple: [Philippine eagle, nativeRange, Leyte]
  • 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. Palo, Leyte
    Palo, Leyte is a coastal municipality in the Philippines’ Eastern Visayas region, historically significant as a major World War II landing site of General Douglas MacArthur and now a center of heritage and religious tourism.
  • C. Isabel, Leyte
    Isabel, Leyte is a coastal municipality in the province of Leyte in the Philippines, known for its industrial port and economic zone facilities.
  • D. 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.
  • 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 (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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a7e2a481908c32defa3401f848 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.