Triple

T20069583
Position Surface form Disambiguated ID Type / Status
Subject Province of Quezon E499696 entity
Predicate bordersProvince P224 FINISHED
Object Rizal 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: Rizal | Statement: [Province of Quezon, bordersProvince, Rizal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rizal
Context triple: [Province of Quezon, bordersProvince, Rizal]
  • A. Rizal chosen
    Rizal is a province in the Philippines located just east of Metro Manila, known for its historical significance and scenic mountainous landscapes.
  • B. Rizal
    Rizal is a landlocked municipality in the province of Kalinga in the Cordillera region of the northern Philippines.
  • C. Rizal
    Rizal is a coastal agricultural municipality in the province of Occidental Mindoro in the Philippines.
  • D. Rizal
    Rizal is a barangay (village-level administrative division) located in the municipality of San Antonio in the province of Zambales, Philippines.
  • E. Rizal
    Rizal is a rural municipality in the province of Zamboanga del Norte in the Philippines.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:39 p.m.