Triple

T11360384
Position Surface form Disambiguated ID Type / Status
Subject Arkansas Code Annotated E269068 entity
Predicate abbreviation P43 FINISHED
Object A.C.A.
A.C.A. is the standard legal abbreviation for the Arkansas Code Annotated, the codified statutes of the state of Arkansas.
E921005 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: A.C.A. | Statement: [Arkansas Code Annotated, abbreviation, A.C.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A.C.A.
Context triple: [Arkansas Code Annotated, abbreviation, A.C.A.]
  • A. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • B. AACO
    AACO is a regional association that represents and coordinates the interests of Arab airlines and promotes cooperation among them.
  • C. A. C.
    A. C. is the given name of A. C. Green, a former professional basketball player best known for his long NBA career and ironman durability.
  • D. GACA
    GACA is Saudi Arabia’s national aviation regulator responsible for overseeing civil aviation safety, security, and air transport operations in the country.
  • E. CAAC
    CAAC is the acronym for the Civil Aviation Administration of China, the national authority responsible for regulating and overseeing civil aviation in China.
  • 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: A.C.A.
Triple: [Arkansas Code Annotated, abbreviation, A.C.A.]
Generated description
A.C.A. is the standard legal abbreviation for the Arkansas Code Annotated, the codified statutes of the state of Arkansas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A.C.A.
Target entity description: A.C.A. is the standard legal abbreviation for the Arkansas Code Annotated, the codified statutes of the state of Arkansas.
  • A. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • B. AACO
    AACO is a regional association that represents and coordinates the interests of Arab airlines and promotes cooperation among them.
  • C. A. C.
    A. C. is the given name of A. C. Green, a former professional basketball player best known for his long NBA career and ironman durability.
  • D. GACA
    GACA is Saudi Arabia’s national aviation regulator responsible for overseeing civil aviation safety, security, and air transport operations in the country.
  • E. CAAC
    CAAC is the acronym for the Civil Aviation Administration of China, the national authority responsible for regulating and overseeing civil aviation in China.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea42fe608190b9c71dd63f8780f3 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543bdd6d88190b4f816ffde5179be completed April 19, 2026, 9:06 p.m.
NEDg Description generation batch_69e5474b77948190b2c45831871383e8 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.