Triple

T19057635
Position Surface form Disambiguated ID Type / Status
Subject Burnham Park E466440 entity
Predicate locatedIn P40 FINISHED
Object Benguet 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: Benguet | Statement: [Burnham Park, locatedIn, Benguet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benguet
Context triple: [Burnham Park, locatedIn, Benguet]
  • A. Benguet chosen
    Benguet is a landlocked province in the northern Philippines known for its cool climate, mountainous terrain, and vegetable and strawberry farms centered around the city of Baguio.
  • B. Apayao
    Apayao is a landlocked, mountainous province in the northern Philippines known for its rich indigenous culture, forests, and river systems.
  • C. Balingasag
    Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
  • D. Cagayan Province
    Cagayan Province is a large agricultural and coastal province in the Cagayan Valley region of northern Luzon in the Philippines, known for its fertile plains, historical churches, and access to the Babuyan Channel.
  • E. Lanao del Norte
    Lanao del Norte is a province in the Philippines located in the Northern Mindanao region, known for its coastal landscapes along Iligan Bay and diverse cultural communities.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc0742288190a594be859184841a completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.