Triple

T18590403
Position Surface form Disambiguated ID Type / Status
Subject KITP E454351 entity
Predicate acronym P43 FINISHED
Object KITP 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: KITP | Statement: [KITP, acronym, KITP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KITP
Context triple: [KITP, acronym, KITP]
  • A. KITP chosen
    KITP is a leading research institute at the University of California, Santa Barbara, dedicated to advancing theoretical physics through long-term programs and collaborations among scientists worldwide.
  • B. KIPL
    KIPL is the ICAO airport code for Imperial County Airport, a public airport serving the Imperial County region in California, United States.
  • C. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. KI
    KI is the ISO 3166-1 alpha-2 country code for Kiribati, a Pacific island nation.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b5bc688190bdfe3911ac6b2d76 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.