Triple

T17769619
Position Surface form Disambiguated ID Type / Status
Subject Lungsod ng Pasig E443596 entity
Predicate borderedBy P224 FINISHED
Object Taytay 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: Taytay | Statement: [Lungsod ng Pasig, borderedBy, Taytay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taytay
Context triple: [Lungsod ng Pasig, borderedBy, Taytay]
  • A. Taytay chosen
    Taytay is a municipality in the province of Rizal in the Philippines, known as a rapidly urbanizing suburban area just east of Metro Manila.
  • B. Taytay
    Taytay is a historic coastal municipality in the province of Palawan in the Philippines, known for its Spanish-era fort and scenic island-dotted bay.
  • C. Freixiosa
    Freixiosa is a civil parish located in the municipality of Mangualde in central Portugal.
  • D. Vallmoll
    Vallmoll is a small municipality in the province of Tarragona, within the autonomous community of Catalonia in northeastern Spain.
  • E. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fe70648190b4107e1eabacc694 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.