Triple

T14162047
Position Surface form Disambiguated ID Type / Status
Subject OCP Group E350971 entity
Predicate abbreviation P43 FINISHED
Object OCP E208326 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: OCP | Statement: [OCP Group, abbreviation, OCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCP
Context triple: [OCP Group, abbreviation, OCP]
  • A. OCP chosen
    OCP (Operational Camouflage Pattern) is a modern U.S. military camouflage design used across multiple branches for improved concealment in diverse environments.
  • B. OCP
    OCP is the abbreviated name for the Office of the Commissioner of Probation, a governmental body overseeing probation services and related judicial support functions.
  • C. OCA
    OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
  • D. OCA
    OCA is the governing body responsible for organizing and overseeing multi-sport events and Olympic-related activities across Asia.
  • E. OCA
    OCA is the Texas Office of Court Administration, the state agency that provides administrative, technical, and financial support to the Texas judicial branch.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f166988190a96d01fb4bd1438e completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:59 a.m.