Triple

T15989613
Position Surface form Disambiguated ID Type / Status
Subject Workday E387789 entity
Predicate hasCompetitor P1375 FINISHED
Object UKG E295677 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: UKG | Statement: [Workday, hasCompetitor, UKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UKG
Context triple: [Workday, hasCompetitor, UKG]
  • A. UKG chosen
    UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
  • B. UKG39
    UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
  • C. USK
    USK is the German Entertainment Software Self-Regulation Body responsible for age rating and classifying video games and other interactive media.
  • D. Ug
    Ug is a shape-shifting intergalactic bounty hunter featured in the sci-fi horror comedy film "Critters 2: The Main Course."
  • E. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157829ec08190aa4a683e29a0148a completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d2369081909efa2d4addf0cf2d completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.