Triple

T22774816
Position Surface form Disambiguated ID Type / Status
Subject Kalanggaman Island E563665 entity
Predicate locatedIn P40 FINISHED
Object Palompon, 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: Palompon, Leyte | Statement: [Kalanggaman Island, locatedIn, Palompon, Leyte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palompon, Leyte
Context triple: [Kalanggaman Island, locatedIn, Palompon, Leyte]
  • A. Palompon, Leyte chosen
    Palompon, Leyte is a coastal municipality in the province of Leyte in the Philippines, known as the gateway to the popular sandbar destination Kalanggaman Island.
  • 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. San Miguel, Leyte
    San Miguel, Leyte is a municipality in the province of Leyte in the Philippines, situated in the northern part of the island.
  • D. La Paz, Leyte
    La Paz, Leyte is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • E. Tanauan, Leyte
    Tanauan, Leyte is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry, agricultural activities, and vulnerability to typhoons such as Haiyan.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b60eec48190b0aaf3eb7ede38d4 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.