Triple

T4719356
Position Surface form Disambiguated ID Type / Status
Subject Taguig E104725 entity
Predicate borderedBy P224 FINISHED
Object Parañaque E189190 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: Parañaque | Statement: [Taguig, borderedBy, Parañaque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parañaque
Context triple: [Taguig, borderedBy, Parañaque]
  • A. Parañaque chosen
    Parañaque is a coastal city in the southern part of Metro Manila in the Philippines, known for its residential communities, commercial centers, and proximity to Ninoy Aquino International Airport.
  • B. Ñuñoa
    Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
  • C. Lurín
    Lurín is a district in the Lima Province of Peru, known for its archaeological sites, beaches, and growing urban and industrial areas south of central Lima.
  • D. Peñalolén
    Peñalolén is a commune in the southeastern sector of Santiago, Chile, known for its residential neighborhoods, educational institutions, and proximity to the Andean foothills.
  • E. San José de Maipo
    San José de Maipo is a mountainous commune and town in central Chile known as a gateway to the Cajón del Maipo canyon and the Andes for outdoor and ecotourism activities.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642779a08190b01e588d515cf498 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108bc0048190aeea8674f75105e5 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.