Triple

T15722721
Position Surface form Disambiguated ID Type / Status
Subject Sagay E381139 entity
Predicate hasBarangay P29835 FINISHED
Object Rizal E983197 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: Rizal | Statement: [Sagay, hasBarangay, Rizal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rizal
Context triple: [Sagay, hasBarangay, Rizal]
  • A. Rizal chosen
    Rizal is a rural municipality in the province of Zamboanga del Norte in the Philippines.
  • 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 province in the Philippines located just east of Metro Manila, known for its historical significance and scenic mountainous landscapes.
  • 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 (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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876759288190b263cbea00fdaba4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:45 a.m.