Triple

T14503595
Position Surface form Disambiguated ID Type / Status
Subject Pangasinan E340205 entity
Predicate hasMunicipality P847 FINISHED
Object San Fabian E562602 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 Fabian | Statement: [Pangasinan, hasMunicipality, San Fabian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Fabian
Context triple: [Pangasinan, hasMunicipality, San Fabian]
  • A. San Fabian chosen
    San Fabian is a coastal municipality in the province of Pangasinan, Philippines, known for its beaches along the Lingayen Gulf.
  • B. San Pantaleo
    San Pantaleo is a picturesque village in northeastern Sardinia, Italy, known for its traditional stone houses, artists’ community, and dramatic granite mountain scenery near the Costa Smeralda.
  • C. San Pantaleo
    San Pantaleo is an island in the Stagnone Lagoon of western Sicily, known for its archaeological remains of the ancient Phoenician city of Motya.
  • D. San Marcelino
    San Marcelino is a landlocked municipality in the province of Zambales in the Philippines, known for its agricultural economy and proximity to the Subic Bay area.
  • E. San Carlino
    San Carlino is a small but highly influential Baroque church in Rome designed by architect Francesco Borromini, renowned for its innovative geometry and dynamic architectural forms.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.