Triple

T12675040
Position Surface form Disambiguated ID Type / Status
Subject Jaluit Airport E302785 entity
Predicate IATA code P2569 FINISHED
Object UIT E302786 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: UIT | Statement: [Jaluit Airport, IATA code, UIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UIT
Context triple: [Jaluit Airport, IATA code, UIT]
  • A. UIT chosen
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • B. UIS
    UIS is a public university in Springfield, Illinois, known for its liberal arts and professional programs within the University of Illinois system.
  • C. UI
    UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
  • D. UI
    UI is the commonly used abbreviation for the University of Iceland, the country’s leading public research university located in Reykjavík.
  • E. UIF
    UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961af991c8190b6079cb57e593b8f completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a163188190b6077c77f9a81681 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.