Triple

T16041755
Position Surface form Disambiguated ID Type / Status
Subject Barnstormers E389112 entity
Predicate formerLeague P5927 FINISHED
Object af2 E389111 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: af2 | Statement: [Barnstormers, formerLeague, af2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: af2
Context triple: [Barnstormers, formerLeague, af2]
  • A. af2 chosen
    af2 was a now-defunct developmental arena football league that operated as the minor league counterpart to the Arena Football League (AFL) in the United States.
  • B. AfA
    AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
  • C. 2 AF
    2 AF is the commonly used abbreviation for the United States Air Force’s Second Air Force, a numbered air force responsible for conducting basic military and technical training.
  • D. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • E. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18340686881909135fc43a0a71b20 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd77c5481908644742a8a8f3e68 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.