Triple

T17771445
Position Surface form Disambiguated ID Type / Status
Subject San Nicolas, Batangas E443648 entity
Predicate hasCountryCode P189 FINISHED
Object PH NE NERFINISHED

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: PH | Statement: [San Nicolas, Batangas, hasCountryCode, PH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PH
Context triple: [San Nicolas, Batangas, hasCountryCode, PH]
  • A. PH
    PH is the vehicle registration code used on license plates for vehicles registered in Ploiești, Romania.
  • B. PH
    PH is a postcode area in the United Kingdom covering Perth and surrounding parts of central and northern Scotland.
  • C. .ph chosen
    .ph is the country code top-level domain (ccTLD) designated for websites associated with the Philippines.
  • D. PHA
    PHA is a common abbreviation for Public Housing Agency, a government-funded organization that administers and manages affordable housing programs for low-income residents.
  • E. PHF
    PHF is the three-letter FAA airport code for Newport News/Williamsburg International Airport in Virginia, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e486005770819085d637279b2334eb completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.