Triple

T2754583
Position Surface form Disambiguated ID Type / Status
Subject NWSL Challenge Cup E61068 entity
Predicate sponsor P67 FINISHED
Object UKG
UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
 E295677 NE FINISHED

How this triple was built (4 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: UKG | Statement: [NWSL Challenge Cup, sponsor, UKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKG
Context triple: [NWSL Challenge Cup, sponsor, UKG]
  • A. UKG39
    UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
  • B. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • C. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • D. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • E. UGKO
    UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UKG
Triple: [NWSL Challenge Cup, sponsor, UKG]
Generated description
UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKG
Target entity description: UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
  • A. UKG39
    UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
  • B. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • C. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • D. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • E. UGKO
    UGKO is the ICAO airport code for David the Builder Kutaisi International Airport in Kutaisi, Georgia.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb7073d081909da84b21015972f2 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdd509c8190ac62aa6d50dea3a6 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbce109f48190be1a31d9300dbee6 completed March 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69afbda490ac8190bb12598e26b91677 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.