Triple

T6999024
Position Surface form Disambiguated ID Type / Status
Subject California Office of Administrative Law E162287 entity
Predicate hasAbbreviation P43 FINISHED
Object OAL
OAL is the California Office of Administrative Law, the state agency responsible for reviewing and approving regulations proposed by California’s executive branch agencies.
E634533 NE FINISHED

How this triple was built (4 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: OAL | Statement: [California Office of Administrative Law, hasAbbreviation, OAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OAL
Context triple: [California Office of Administrative Law, hasAbbreviation, OAL]
  • A. OAL
    OAL is the abbreviation for the Ordre des Arts et des Lettres, a French order of merit that honors significant contributions to the arts and literature.
  • B. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • C. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • D. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • E. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OAL
Triple: [California Office of Administrative Law, hasAbbreviation, OAL]
Generated description
OAL is the California Office of Administrative Law, the state agency responsible for reviewing and approving regulations proposed by California’s executive branch agencies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OAL
Target entity description: OAL is the California Office of Administrative Law, the state agency responsible for reviewing and approving regulations proposed by California’s executive branch agencies.
  • A. OAL
    OAL is the abbreviation for the Ordre des Arts et des Lettres, a French order of merit that honors significant contributions to the arts and literature.
  • B. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • C. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • D. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • E. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • F. None of above. chosen

Provenance (5 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbf083b481909dd30e28e908dfdf completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2c510c8190b7c86f8b399388ae completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1d881481908ef5a6614246ca1e completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76be95ecc8190a57ff197f236d434 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.