Triple

T15221447
Position Surface form Disambiguated ID Type / Status
Subject Catholic Church in Spain E363774 entity
Predicate abbreviation P43 FINISHED
Object CEE E940845 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: CEE | Statement: [Catholic Church in Spain, abbreviation, CEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEE
Context triple: [Catholic Church in Spain, abbreviation, CEE]
  • A. CEE
    CEE is the IATA airport code for Cherepovets Airport, a regional airport serving the city of Cherepovets in Russia.
  • B. CEE chosen
    The CEE is the Spanish Episcopal Conference, the assembly of Catholic bishops in Spain that coordinates and represents the Church’s activities and positions in the country.
  • C. CEE
    CEE is the abbreviation for the University of Michigan’s Department of Civil and Environmental Engineering, which focuses on education and research in infrastructure, sustainability, and the environment.
  • D. CE&C
    CE&C is the commonly used abbreviation for the Department of Chemical Engineering and Chemistry, an academic unit focused on education and research in chemical engineering and chemistry.
  • E. CECS
    CECS is the commonly used abbreviation for the College of Engineering and Computer Science, an academic division focused on engineering and computing disciplines.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00788b04881909dad9b346ce3b4a9 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3397a48190bae8b2a359ee4ae8 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.