Triple

T21953751
Position Surface form Disambiguated ID Type / Status
Subject SVV E542129 entity
Predicate isAlsoKnownAs P39 FINISHED
Object NPRA 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: NPRA | Statement: [SVV, isAlsoKnownAs, NPRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NPRA
Context triple: [SVV, isAlsoKnownAs, NPRA]
  • A. NPRA chosen
    NPRA is the acronym for the Norwegian Public Roads Administration, the government agency responsible for planning, building, operating, and maintaining Norway’s national and county road networks.
  • B. PNRA
    PNRA is the acronym for the Pakistan Nuclear Regulatory Authority, the national body responsible for regulating and overseeing nuclear safety and radiation protection in Pakistan.
  • C. PRA
    PRA is the Philippine government agency responsible for overseeing and regulating land reclamation and related development projects.
  • D. PRA
    PRA is the vehicle registration code for the Polish town of Rawicz in the Greater Poland Voivodeship.
  • E. PRA
    PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243dfb4081909bc7a722843ffea7 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.