Triple

T11906132
Position Surface form Disambiguated ID Type / Status
Subject OAI E283275 entity
Predicate hasAbbreviation P43 FINISHED
Object OAI E904637 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: OAI | Statement: [OAI, hasAbbreviation, OAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OAI
Context triple: [OAI, hasAbbreviation, OAI]
  • A. OAI
    OAI is the Office of Anticorruption and Integrity, a body typically responsible for promoting transparency, preventing corruption, and ensuring ethical conduct within an organization or institution.
  • B. OAI chosen
    OAI is the commonly used abbreviation for the OpenAPI Initiative, an open governance organization that standardizes the OpenAPI Specification for describing RESTful APIs.
  • C. OIA
    OIA is a common acronym for an Office of International Affairs, typically a governmental or institutional body that manages international relations, partnerships, and global programs.
  • D. OEI
    OEI is the Office of Environmental Information within the U.S. Environmental Protection Agency, responsible for managing environmental data, information policy, and related technology systems.
  • E. OEI
    OEI is a division within the U.S. Department of Health and Human Services Office of Inspector General that conducts evaluations and inspections to improve the efficiency and effectiveness of HHS programs.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418487f448190b6e24fb2c0409e3f completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.