Triple

T17485804
Position Surface form Disambiguated ID Type / Status
Subject PsycARTICLES E425774 entity
Predicate producer P490 FINISHED
Object APA NE NERFINISHED

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: APA | Statement: [PsycARTICLES, producer, APA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APA
Context triple: [PsycARTICLES, producer, APA]
  • A. APA
    APA is a commonly used abbreviation for the Administrative Procedure Act, a key U.S. federal law governing how administrative agencies propose and establish regulations.
  • B. APA
    APA is the abbreviation for the Norwegian petroleum licensing rounds system used to award exploration and production rights on the Norwegian continental shelf.
  • C. APA
    APA is a major professional organization representing psychiatrists in the United States and influencing mental health policy, research, and clinical practice.
  • D. APA chosen
    APA is the leading professional organization in the United States representing psychologists and advancing the science and practice of psychology.
  • E. APA
    APA is the IATA airport code for Centennial Airport, a general aviation airport serving the Denver metropolitan area in Colorado, USA.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d1f4708190b7c4d61326a2c4a4 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.