Triple

T19075201
Position Surface form Disambiguated ID Type / Status
Subject UCCI E466885 entity
Predicate acronym P43 FINISHED
Object UCCI NE NERFINISHED

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: UCCI | Statement: [UCCI, acronym, UCCI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCCI
Context triple: [UCCI, acronym, UCCI]
  • A. UCCI chosen
    UCCI is an international organization that brings together the capital cities of Ibero-American countries to promote cooperation, cultural exchange, and sustainable urban development.
  • B. Stone Island
    Stone Island is a coastal island and popular beach destination near Mazatlán in the Mexican state of Sinaloa.
  • C. HUF
    HUF is the currency code for the Hungarian forint, the official currency of Hungary.
  • D. Vlone
    Vlone is a track by Chicago rapper Valee known for its minimalist production and laid-back, off-kilter flow.
  • E. UCO
    UCO is a multi-campus research organization within the University of California system that manages and supports the university’s major astronomical observatories and instrumentation programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e3c7b08190bf6448ead11ba916 completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.