Triple

T9745200
Position Surface form Disambiguated ID Type / Status
Subject Bukidnon E236288 entity
Predicate hasCity P316 FINISHED
Object Malaybalay E872846 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: Malaybalay | Statement: [Bukidnon, hasCity, Malaybalay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaybalay
Context triple: [Bukidnon, hasCity, Malaybalay]
  • A. Malaybalay chosen
    Malaybalay is a city in the Philippines known as the administrative and cultural center of the landlocked, mountainous province of Bukidnon on Mindanao island.
  • B. Pagadian City
    Pagadian City is a coastal city in the southern Philippines that serves as the regional center and administrative hub of the Zamboanga Peninsula.
  • C. Dagupan
    Dagupan is a coastal independent component city in the Philippines known for its bangus (milkfish) industry and role as a commercial and educational center in Pangasinan.
  • D. Bayugan
    Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
  • E. Cabanatuan City
    Cabanatuan City is a highly urbanized commercial and transportation hub in the Philippine province of Nueva Ecija, historically known as the "Tricycle Capital of the Philippines."
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2f8e648190ad94c940f9dc1de0 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e38789881909e45e8d0b0489a59 completed April 10, 2026, 8:31 p.m.
Created at: March 30, 2026, 8:23 p.m.