Triple

T3152309
Position Surface form Disambiguated ID Type / Status
Subject Eastern Samar E65903 entity
Predicate hasCity P316 FINISHED
Object Borongan E327619 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: Borongan | Statement: [Eastern Samar, hasCity, Borongan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borongan
Context triple: [Eastern Samar, hasCity, Borongan]
  • A. Borongan chosen
    Borongan is a coastal city in Eastern Samar, Philippines, known as a regional center and gateway to the natural attractions of Samar Island.
  • B. Boroko
    Boroko is a major residential and commercial suburb of Port Moresby in Papua New Guinea, known for its shopping areas and sports facilities.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • E. Pototan
    Pototan is a first-class municipality in the Philippine province of Iloilo, known for its agricultural economy and its popular Christmas lights festival.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b42fd948190bc9bcf44692c84ca completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:05 p.m.