Triple

T25597187
Position Surface form Disambiguated ID Type / Status
Subject Office of the Chief Administrative Hearing Officer E641686 entity
Predicate usesOfficials P134903 FINISHED
Object administrative law judges LITERAL 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: administrative law judges | Statement: [Office of the Chief Administrative Hearing Officer, usesOfficials, administrative law judges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesOfficials
Context triple: [Office of the Chief Administrative Hearing Officer, usesOfficials, administrative law judges]
  • A. includesOfficials chosen
    Indicates that one entity contains or encompasses certain officials as part of its composition or scope.
  • B. officialIn
    Indicates that an entity holds an official position, role, or office within a specified organization, institution, or jurisdiction.
  • C. associatedWithGovernmentOfficial
    Indicates a relationship in which an entity has a connection, involvement, or affiliation with a government official.
  • D. isOfficialOfficeOf
    Indicates that one entity serves as the formally recognized office or headquarters associated with another entity.
  • E. areOfficialIn
    Indicates that an entity holds an official role, position, or capacity within another entity (such as an organization, institution, or jurisdiction).
  • F. None of above.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a420f08190a8ed8c9a8c245fc4 completed May 2, 2026, 1:18 p.m.
PD Predicate disambiguation batch_69f4a0f7c6008190ae8cee3e71e19b94 completed May 1, 2026, 12:47 p.m.
Created at: April 21, 2026, 4:28 p.m.