Triple

T16355291
Position Surface form Disambiguated ID Type / Status
Subject Western Conference (AAF) E397160 entity
Predicate leagueAbbreviation P5399 FINISHED
Object AAF E401186 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: AAF | Statement: [Western Conference (AAF), leagueAbbreviation, AAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAF
Context triple: [Western Conference (AAF), leagueAbbreviation, AAF]
  • A. AAF chosen
    AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
  • B. AFF
    AFF is the ASEAN Football Federation, the regional governing body for football in Southeast Asia under the Asian Football Confederation.
  • C. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • D. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • E. AF
    AF is a 16-bit register pair in the Zilog Z80 CPU that combines the accumulator (A) and the flags register (F) for arithmetic and logic operations.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2face3a54819099418edd0eecc963 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db841dc8190bfe8a0d8fca1b309 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.