Triple

T5869546
Position Surface form Disambiguated ID Type / Status
Subject Arizona Board of Regents E130479 entity
Predicate hasAbbreviation P43 FINISHED
Object ABOR
ABOR is the governing body responsible for overseeing Arizona’s public university system.
E550911 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: ABOR | Statement: [Arizona Board of Regents, hasAbbreviation, ABOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABOR
Context triple: [Arizona Board of Regents, hasAbbreviation, ABOR]
  • A. AGBO
    AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
  • B. ABY
    ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
  • C. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • D. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • E. AB
    AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
  • 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: ABOR
Triple: [Arizona Board of Regents, hasAbbreviation, ABOR]
Generated description
ABOR is the governing body responsible for overseeing Arizona’s public university system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ABOR
Target entity description: ABOR is the governing body responsible for overseeing Arizona’s public university system.
  • A. AGBO
    AGBO is an American film and television production company founded by Anthony and Joe Russo, known for producing high-profile genre-bending and blockbuster projects.
  • B. ABY
    ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
  • C. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • D. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • E. AB
    AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c3a43c8190a2b20fb139cc823f completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d39dd081908d77ee82c24178cf completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a223129081908288d90f7cf51668 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a294ba748190a86ec8400df73237 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:56 p.m.