Triple

T16041677
Position Surface form Disambiguated ID Type / Status
Subject Indoor Football League E389110 entity
Predicate alsoKnownAs P39 FINISHED
Object IFL E389110 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: IFL | Statement: [Indoor Football League, alsoKnownAs, IFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFL
Context triple: [Indoor Football League, alsoKnownAs, IFL]
  • A. IFL
    IFL is the ICAO airline designator formerly used by Interflug, the former national airline of East Germany.
  • B. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • C. LFL
    LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
  • D. X-League Indoor Football
    X-League Indoor Football was a short-lived professional indoor football league in the United States that featured teams like the Columbus Lions.
  • E. Indoor Football League chosen
    The Indoor Football League is a professional indoor American football league in the United States featuring teams that play a faster-paced, arena-style version of the sport.
  • 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.