Triple

T3728923
Position Surface form Disambiguated ID Type / Status
Subject UEA E79014 entity
Predicate abbreviation P43 FINISHED
Object UEA E79014 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: UEA | Statement: [UEA, abbreviation, UEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UEA
Context triple: [UEA, abbreviation, UEA]
  • A. UEA chosen
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • B. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • C. 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.
  • D. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • E. University of East Anglia
    The University of East Anglia is a public research university in Norwich, England, renowned for its strengths in environmental sciences, creative writing, and interdisciplinary research.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb17432881909390284b935ed3fd completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.