Triple

T15799691
Position Surface form Disambiguated ID Type / Status
Subject Port of Subic E383064 entity
Predicate near P350 FINISHED
Object Olongapo City E436198 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: Olongapo City | Statement: [Port of Subic, near, Olongapo City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olongapo City
Context triple: [Port of Subic, near, Olongapo City]
  • A. Olongapo City chosen
    Olongapo City is a highly urbanized coastal city in Zambales, Philippines, known for its proximity to Subic Bay and its history as a former U.S. naval base host community.
  • B. Calamba City
    Calamba City is a highly urbanized city in the province of Laguna, Philippines, known as the hometown of national hero José Rizal and a major industrial and residential hub south of Metro Manila.
  • C. Pasay City
    Pasay City is a highly urbanized city in Metro Manila, Philippines, known for its major commercial centers, entertainment complexes, and proximity to the Ninoy Aquino International Airport.
  • D. Las Piñas City
    Las Piñas City is a highly urbanized city in Metro Manila, Philippines, known for its rapid residential and commercial development and its famous Bamboo Organ.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e135b08190b736e77bac5e2bff completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 4:48 a.m.