Triple

T6784549
Position Surface form Disambiguated ID Type / Status
Subject FIRST Tech Challenge E155767 entity
Predicate abbreviation P43 FINISHED
Object FTC E155767 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: FTC | Statement: [FIRST Tech Challenge, abbreviation, FTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FTC
Context triple: [FIRST Tech Challenge, abbreviation, FTC]
  • A. FTC chosen
    FTC is a global middle and high school robotics competition program that challenges teams to design, build, and program robots to complete themed tasks.
  • B. Federal Trade Commission
    The Federal Trade Commission is an independent U.S. government agency responsible for enforcing antitrust and consumer protection laws to promote fair competition and safeguard consumers.
  • C. FCC
    FCC is the common abbreviation for FC Cincinnati, a professional soccer club based in Cincinnati, Ohio, that competes in Major League Soccer.
  • D. JFTC
    JFTC is a NATO training facility in Bydgoszcz, Poland, focused on preparing joint and combined forces for multinational operations and exercises.
  • E. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d6fb4c8190a7e7b88edc9c848c completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:14 p.m.