Triple

T3770815
Position Surface form Disambiguated ID Type / Status
Subject Pampanga E83192 entity
Predicate capital P234 FINISHED
Object City of San Fernando E104726 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: City of San Fernando | Statement: [Pampanga, capital, City of San Fernando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of San Fernando
Context triple: [Pampanga, capital, City of San Fernando]
  • A. City of San Pablo
    The City of San Pablo is a small, historically working-class municipality in Contra Costa County, California, located in the East Bay region just north of Richmond.
  • B. City of San Buenaventura
    The City of San Buenaventura (commonly known as Ventura) is a coastal city in Ventura County, California, known for its beaches, harbor, and historic downtown.
  • C. City of San Luis
    The City of San Luis is a municipal government in southwestern Arizona that administers local services and regulations for the border community of San Luis.
  • D. San Fernando chosen
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • E. San Fernando
    San Fernando is a coastal city in the Province of Cádiz, Andalusia, Spain, known for its naval base, salt marshes, and historical role in the Spanish War of Independence.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc307cf8819090730b5e697bb197 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5287908819084319b8dfa407635 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.