Triple

T3026250
Position Surface form Disambiguated ID Type / Status
Subject OIOS E82581 entity
Predicate abbreviation P43 FINISHED
Object OIOS E82581 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: OIOS | Statement: [OIOS, abbreviation, OIOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OIOS
Context triple: [OIOS, abbreviation, OIOS]
  • A. OIOS chosen
    OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
  • B. I2O
    I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
  • 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. OIIE
    OIIE is the ICAO airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Iran’s capital.
  • E. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abd85348190aba9e40658697665 completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb6dc8c8190a5714894b9ca24a1 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.