Triple

T17642474
Position Surface form Disambiguated ID Type / Status
Subject Assumption College E429265 entity
Predicate province P604 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: [Assumption College, province, Rizal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rizal
Context triple: [Assumption College, province, 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 rural municipality in the province of Zamboanga del Norte in the Philippines.
  • D. José Rizal
    José Rizal was a Filipino nationalist, writer, and revolutionary whose works and martyrdom against Spanish colonial rule made him a preeminent national hero of the Philippines.
  • E. Paciano Rizal
    Paciano Rizal was a Filipino revolutionary leader, military general, and mentor to his younger brother José Rizal during the struggle against Spanish colonial rule.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de645208190a40dcf443f8afd82 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.