Triple

T12915595
Position Surface form Disambiguated ID Type / Status
Subject OGP E308971 entity
Predicate abbreviation P43 FINISHED
Object OGP E308971 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: OGP | Statement: [OGP, abbreviation, OGP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OGP
Context triple: [OGP, abbreviation, OGP]
  • A. OGP chosen
    OGP is the acronym for the U.S. General Services Administration’s Office of Government-wide Policy, which develops and oversees government-wide policies on areas such as federal real property, travel, technology, and regulatory management.
  • B. OGP
    OGP is the abbreviated name for the Office of Acquisition Policy, a government body responsible for developing and overseeing acquisition and procurement policies.
  • C. GPC
    GPC is a discount cigarette brand produced by the tobacco company Brown & Williamson.
  • D. GPC
    GPC is the commonly used acronym for the Green Party of Canada, a federal political party focused on environmentalism and social justice.
  • E. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.