Triple

T21783272
Position Surface form Disambiguated ID Type / Status
Subject NOAD E537769 entity
Predicate hasAbbreviation P43 FINISHED
Object NOAD 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: NOAD | Statement: [NOAD, hasAbbreviation, NOAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOAD
Context triple: [NOAD, hasAbbreviation, NOAD]
  • A. NOAD chosen
    NOAD is a widely used single-volume dictionary of American English published by Oxford University Press.
  • B. Ei Thesaurus
    Ei Thesaurus is a controlled vocabulary and indexing tool used to standardize subject terms for engineering and technical literature in the Ei Compendex database.
  • C. OED
    OED is the acronym commonly used for the Oregon Employment Department, the state agency responsible for administering unemployment insurance and workforce services in Oregon.
  • D. OED
    OED is the commonly used abbreviation for Norway’s Ministry of Petroleum and Energy, the government body responsible for managing the country’s petroleum and energy resources.
  • E. Cambridge English Pronouncing Dictionary
    The Cambridge English Pronouncing Dictionary is a widely used reference work that provides authoritative phonetic transcriptions and pronunciation guidance for English words, particularly reflecting standard British usage.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462ed0ec81908833e18c164e8b5c completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.