Triple

T16862709
Position Surface form Disambiguated ID Type / Status
Subject TFF Second League E409959 entity
Predicate organizerAbbreviation P3613 FINISHED
Object TFF E1004666 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: TFF | Statement: [TFF Second League, organizerAbbreviation, TFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TFF
Context triple: [TFF Second League, organizerAbbreviation, TFF]
  • A. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • B. TFF chosen
    TFF is the Turkish Football Federation, the main governing body responsible for organizing and regulating professional and amateur football in Turkey.
  • C. TFFF
    TFFF is the ICAO airport code for Martinique Aimé Césaire International Airport, the main international gateway to the Caribbean island of Martinique.
  • D. TFFJ
    TFFJ is the ICAO airport code for Gustaf III Airport, a short-runway Caribbean airport on the island of Saint Barthélemy known for its challenging approach.
  • E. TFFR
    TFFR is the ICAO airport code for Pointe-à-Pitre International Airport, the main international gateway to Guadeloupe in the Caribbean.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50488fc8190b3b646543c3ba476 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb274ba48190951acde0821e05a0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.