Triple

T17500200
Position Surface form Disambiguated ID Type / Status
Subject Apache ORC E426165 entity
Predicate abbreviation P43 FINISHED
Object ORC 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: ORC | Statement: [Apache ORC, abbreviation, ORC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORC
Context triple: [Apache ORC, abbreviation, ORC]
  • A. ORC chosen
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • B. ORC
    ORC is the abbreviation for the Organized Reserve Corps, a former component of the United States Army Reserve structure.
  • C. ORU
    ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
  • D. ORU
    ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
  • E. ORCP
    ORCP is the standard legal abbreviation for the Oregon Rules of Civil Procedure, which govern civil court proceedings in the state of Oregon.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452112ff0819089c2951baba90102 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.