Triple

T14447378
Position Surface form Disambiguated ID Type / Status
Subject ACM UIST E358242 entity
Predicate abbreviation P43 FINISHED
Object UIST E358242 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: UIST | Statement: [ACM UIST, abbreviation, UIST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UIST
Context triple: [ACM UIST, abbreviation, UIST]
  • A. ACM UIST chosen
    ACM UIST is a premier annual research conference focused on innovations in user interface software and technology, bringing together experts in human-computer interaction, computer graphics, and related fields.
  • B. UIO
    UIO is the IATA airport code for Mariscal Sucre International Airport serving Quito, Ecuador.
  • C. USI
    USI is a public university located in Evansville, Indiana, offering a wide range of undergraduate and graduate programs.
  • D. USI
    USI is the abbreviated name for the United States of Indonesia, a short-lived federal state that briefly existed in Southeast Asia after World War II.
  • E. USI
    USI is a Swiss public university in Lugano known for its programs in informatics, communication, economics, and architecture.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9160126c8190a2862a1a3dde1aff completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdf451c8190baaa3f7500eaea16 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.