Triple

T4570669
Position Surface form Disambiguated ID Type / Status
Subject Agricultural Research Service E123022 entity
Predicate abbreviation P43 FINISHED
Object ARS E123022 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: ARS | Statement: [Agricultural Research Service, abbreviation, ARS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARS
Context triple: [Agricultural Research Service, abbreviation, ARS]
  • A. ARS chosen
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • B. ARS
    ARS is the commonly used acronym for the Sicilian Regional Assembly, the legislative body of the autonomous region of Sicily in Italy.
  • C. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • D. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • E. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c3eba48190af1fce6e1ca16943 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3cf5e10819099b2927c6f571673 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.