Triple

T13422112
Position Surface form Disambiguated ID Type / Status
Subject Illinois Department of Revenue E313382 entity
Predicate hasAbbreviation P43 FINISHED
Object IDOR E1039040 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: IDOR | Statement: [Illinois Department of Revenue, hasAbbreviation, IDOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDOR
Context triple: [Illinois Department of Revenue, hasAbbreviation, IDOR]
  • A. IDOR chosen
    IDOR is the state agency responsible for administering tax laws and collecting revenues for the state of Illinois.
  • B. IDP
    IDP is a professional development program designed to provide structured training and growth opportunities for interns early in their careers.
  • C. IDIS
    IDIS is a U.S. Department of Housing and Urban Development (HUD) information and financial management system used to plan, track, and report on the use of federal community development and housing funds.
  • D. IID
    IID (Interface Identifier) is a globally unique identifier used in Microsoft's Component Object Model (COM) to distinguish and reference specific interfaces.
  • E. IDEP
    IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398984f48190adaa1963d261d538 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:39 p.m.