Triple

T16360822
Position Surface form Disambiguated ID Type / Status
Subject Paombong E397304 entity
Predicate hasBarangay P29835 FINISHED
Object San Roque (Poblacion) E900342 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: San Roque (Poblacion) | Statement: [Paombong, hasBarangay, San Roque (Poblacion)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Roque (Poblacion)
Context triple: [Paombong, hasBarangay, San Roque (Poblacion)]
  • A. San Roque
    San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
  • B. San Roque chosen
    San Roque is a coastal barangay of Cavite City in the Philippines known for its residential communities and proximity to Manila Bay.
  • C. San Roque
    San Roque is a historic municipality in the province of Cádiz, Andalusia, Spain, known for its proximity to Gibraltar and its role in the region’s military and cultural heritage.
  • D. San Roque
    San Roque is a barangay (village-level administrative division) within the city of San Jose in the Philippine province of Negros Oriental.
  • E. San Roque
    San Roque is a municipality in the Magdalena Medio region of Antioquia, Colombia, known for its agricultural activities and role in regional commerce.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbce2508190b655de87f48e841e completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.