Triple

T7876951
Position Surface form Disambiguated ID Type / Status
Subject CAF Women’s Champions League E182879 entity
Predicate qualifyingZones P79522 FINISHED
Object UNAF E570969 NE FINISHED

How this triple was built (3 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: UNAF | Statement: [CAF Women’s Champions League, qualifyingZones, UNAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNAF
Context triple: [CAF Women’s Champions League, qualifyingZones, UNAF]
  • A. UNAF chosen
    UNAF (Union of North African Football Federations) is the regional governing body that organizes and oversees football activities and competitions among North African national associations.
  • B. UNCAF
    UNCAF is the Central American Football Union, the regional governing body for association football in Central America under CONCACAF.
  • C. UNDAF
    UNDAF is the strategic planning framework that guides how United Nations agencies coordinate their development assistance in a given country.
  • D. UNA
    UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
  • E. UNA
    UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: qualifyingZones
Context triple: [CAF Women’s Champions League, qualifyingZones, UNAF]
  • A. fareZoneIncludes
    Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
  • B. regionQualifier
    Indicates that one entity specifies or constrains the regional or geographic scope applicable to another entity.
  • C. eligibleRegion
    Indicates the geographic area within which something (such as an offer, service, or rule) is valid, applicable, or permitted.
  • D. hasZone
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • E. hasStreetPerformanceZones
    Indicates that designated areas or zones exist where street performances are allowed or intended to take place.
  • F. None of above. chosen

Provenance (5 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bc07208190aa452cef8ca5b0d6 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b7fef308190bbc74e13f4205192 completed March 31, 2026, 5:28 a.m.
PD Predicate disambiguation batch_69cae928e1b88190b0620f4c4f03bc7d completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf786ec748190b6347b0c94335550 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:57 p.m.