Triple

T166579
Position Surface form Disambiguated ID Type / Status
Subject AP-S E3027 entity
Predicate hasAbbreviation P43 FINISHED
Object AP-S E3027 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: AP-S | Statement: [AP-S, hasAbbreviation, AP-S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AP-S
Context triple: [AP-S, hasAbbreviation, AP-S]
  • A. AP-S chosen
    AP-S is the IEEE Antennas and Propagation Society, a leading professional organization focused on the theory, design, and application of antennas and the propagation of electromagnetic waves.
  • B. Ap
    Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
  • C. APRU
    APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
  • D. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • E. AP
    AP is the standard abbreviation for the Pacific Alliance, a Latin American trade bloc focused on economic integration and free movement of goods, services, capital, and people among its member countries.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25884c8d88190bc4cb4e3541e8116 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db55b2808190bb120e6f266bd26b completed Feb. 28, 2026, 12:11 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.