Triple

T9732870
Position Surface form Disambiguated ID Type / Status
Subject Region VI E235987 entity
Predicate hasCity P316 FINISHED
Object Himamaylan E278055 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: Himamaylan | Statement: [Region VI, hasCity, Himamaylan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himamaylan
Context triple: [Region VI, hasCity, Himamaylan]
  • A. Himamaylan chosen
    Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
  • B. Maljamar
    Maljamar is a small unincorporated community in southeastern New Mexico known historically for its oil and gas activity.
  • C. Guinsiliban
    Guinsiliban is a coastal municipality on the island-province of Camiguin in the Philippines, known for its rural communities and proximity to volcanic landscapes and marine attractions.
  • D. Mayong
    Mayong is a village in Assam, India, historically renowned as the "land of black magic" and associated with numerous myths, occult practices, and tantric traditions.
  • E. Anahawan
    Anahawan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and agricultural economy.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb54fe481908b0202f104b75dc1 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.