Triple

T15268519
Position Surface form Disambiguated ID Type / Status
Subject Carmona, Cavite E364960 entity
Predicate hasComponentBarangay P54409 FINISHED
Object Barangay 3 Poblacion E1148883 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: Barangay 3 Poblacion | Statement: [Carmona, Cavite, hasComponentBarangay, Barangay 3 Poblacion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay 3 Poblacion
Context triple: [Carmona, Cavite, hasComponentBarangay, Barangay 3 Poblacion]
  • A. Barangay Poblacion
    Barangay Poblacion is the central urban barangay and main commercial and administrative hub of the city of Bislig in the Philippines.
  • B. Barangay 1 Poblacion
    Barangay 1 Poblacion is an urban barangay that serves as part of the central town area of Carmona in the province of Cavite, Philippines.
  • C. Barangay III
    Barangay III is a local administrative district within the city of Victorias in the Philippines.
  • D. Barangay Poblacion 3 chosen
    Barangay Poblacion 3 is an urban barangay located in the municipality of Carmona in the province of Cavite, Philippines.
  • E. Barangay II
    Barangay II is a local administrative district within the city of Victorias in the Philippines.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094ca9ac8190a1f97a7b74c96cd5 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef895f9708190a44ee7ade1c46a7d completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:14 a.m.