Triple

T17827627
Position Surface form Disambiguated ID Type / Status
Subject San Antonio, Zambales E445160 entity
Predicate hasBarangay P29835 FINISHED
Object San Rafael NE NERFINISHED

How this triple was built (3 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 Rafael | Statement: [San Antonio, Zambales, hasBarangay, San Rafael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Rafael
Context triple: [San Antonio, Zambales, hasBarangay, San Rafael]
  • A. San Rafael
    San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
  • B. San Rafael
    San Rafael is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and growing suburban communities.
  • C. San Rafael
    San Rafael is a small rural municipality in Chile’s Maule Region, known for its agricultural activities and proximity to the regional capital, Talca.
  • D. San Rafael
    San Rafael is a barangay (village-level administrative division) within the municipality of San Narciso in the province of Zambales, Philippines.
  • E. San Rafael
    San Rafael is a barangay (village-level administrative division) within the municipality of San Felipe in the province of Zambales, Philippines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Rafael
Target entity description: San Rafael is a barangay (village-level administrative division) within the municipality of San Antonio in the province of Zambales, Philippines.
  • A. San Rafael
    San Rafael is a barangay (village-level administrative division) within the municipality of San Narciso in the province of Zambales, Philippines.
  • B. San Rafael
    San Rafael is a barangay (village-level administrative division) within the municipality of San Felipe in the province of Zambales, Philippines.
  • C. San Rafael
    San Rafael is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
  • D. San Rafael
    San Rafael is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and growing suburban communities.
  • E. San Rafael
    San Rafael is a small rural municipality in Chile’s Maule Region, known for its agricultural activities and proximity to the regional capital, Talca.
  • F. None of above. chosen

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48915d0fc819080ab03feb2465834 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.