Triple

T2276582
Position Surface form Disambiguated ID Type / Status
Subject Unione delle Comunità Ebraiche Italiane E50784 entity
Predicate shortName P43 FINISHED
Object UCEI E50784 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: UCEI | Statement: [Unione delle Comunità Ebraiche Italiane, shortName, UCEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCEI
Context triple: [Unione delle Comunità Ebraiche Italiane, shortName, UCEI]
  • A. UCEI chosen
    UCEI is the acronym for the Union of Italian Jewish Communities, the central organization representing and coordinating Jewish communities throughout Italy.
  • B. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • C. CEPT University
    CEPT University is a leading Indian institution in Ahmedabad renowned for its programs in architecture, planning, design, and built environment studies.
  • D. ECI
    ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
  • E. UCR
    UCR is a public research university in Riverside, California, and a campus of the University of California system known for its diverse student body and strong programs in the sciences, engineering, and humanities.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ecc600819095dd4f69af1d18d8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f0ed1b881909ba3c7f9fea50267 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.