Triple

T3429787
Position Surface form Disambiguated ID Type / Status
Subject Ultimate Software E72308 entity
Predicate successor P78 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: [Ultimate Software, successor, UKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UKG
Context triple: [Ultimate Software, successor, 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. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • D. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • E. UG
    UG is the ISO 3166-1 alpha-2 country code for Uganda, used in international standards and country abbreviations.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9bd61908190a7bdd01f24334fc3 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547b1b3481909646bf36e8461ff4 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.