Triple

T19351806
Position Surface form Disambiguated ID Type / Status
Subject ICVA E484039 entity
Predicate acronym P43 FINISHED
Object ICVA 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: ICVA | Statement: [ICVA, acronym, ICVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICVA
Context triple: [ICVA, acronym, ICVA]
  • A. ICVA chosen
    ICVA is a global network of non-governmental organizations that works to strengthen humanitarian action and advocacy for people in crisis.
  • B. ICA
    ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
  • C. ICA
    ICA is a leading global academic association dedicated to advancing the study and practice of communication through research, teaching, and professional collaboration.
  • D. ICA
    ICA is a renowned London-based cultural institution dedicated to showcasing and supporting innovative contemporary art, film, and ideas.
  • E. ICA
    The International Cooperation Administration (ICA) was a U.S. government agency responsible for administering foreign economic and technical assistance programs during the 1950s.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61904a878819084d58ed3b7d8a978 completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.