Triple

T18002139
Position Surface form Disambiguated ID Type / Status
Subject Barangay Kapitolyo E430653 entity
Predicate partOf P40 FINISHED
Object City of Pasig 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: City of Pasig | Statement: [Barangay Kapitolyo, partOf, City of Pasig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Pasig
Context triple: [Barangay Kapitolyo, partOf, City of Pasig]
  • A. City of Marikina
    The City of Marikina is a highly urbanized city in Metro Manila, Philippines, widely recognized as the country’s “Shoe Capital” for its long-standing shoemaking industry.
  • B. Lungsod ng Pasig chosen
    Lungsod ng Pasig is a highly urbanized city in Metro Manila, Philippines, known as a major commercial and residential center that includes the Ortigas Center business district.
  • C. City of Las Piñas
    City of Las Piñas is a highly urbanized city in Metro Manila, Philippines, known for its rapid residential and commercial development and its famous Bamboo Organ.
  • D. City of Makati
    The City of Makati is a highly urbanized Philippine city in Metro Manila known as the country’s leading financial and central business district.
  • E. 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.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3e9498c8190bdfa7a53b0c0d8db completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.