Triple

T15980955
Position Surface form Disambiguated ID Type / Status
Subject UDCC E387568 entity
Predicate hasAbbreviation P43 FINISHED
Object UDCC E387568 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: UDCC | Statement: [UDCC, hasAbbreviation, UDCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UDCC
Context triple: [UDCC, hasAbbreviation, UDCC]
  • A. UDCC chosen
    UDCC is the acronym for the UDC Consortium, the international organization responsible for maintaining and developing the Universal Decimal Classification system.
  • B. CUCC
    CUCC is the abbreviation for the Cambridge University Cricket Club, the historic cricket club representing the University of Cambridge in first-class and university cricket.
  • C. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • D. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • E. DDC
    DDC is the Swiss Agency for Development and Cooperation, the Swiss government’s main body responsible for international development and humanitarian aid.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.