Triple

T6637629
Position Surface form Disambiguated ID Type / Status
Subject SheBelieves Cup E150497 entity
Predicate confederationsInvited P71867 FINISHED
Object OFC E34399 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: OFC | Statement: [SheBelieves Cup, confederationsInvited, OFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OFC
Context triple: [SheBelieves Cup, confederationsInvited, OFC]
  • A. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • B. OFC chosen
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • C. OFT
    OFT is the acronym commonly used for Boeing's Orbital Flight Test, an uncrewed test mission of the CST-100 Starliner spacecraft for NASA's Commercial Crew Program.
  • D. OCFO
    OCFO is the government agency responsible for managing the finances, budgeting, and fiscal policy of the District of Columbia.
  • E. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6d0a3a2408190bb7be4613f896bdc completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e453cb14819093597dda825b4304 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.