Triple

T20885756
Position Surface form Disambiguated ID Type / Status
Subject Novaliches E514274 entity
Predicate formerProvince P25984 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: [Novaliches, formerProvince, Rizal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rizal
Context triple: [Novaliches, formerProvince, 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67c9d1c81908031eb77c124f119 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.