Triple

T16911379
Position Surface form Disambiguated ID Type / Status
Subject KCKCC E410201 entity
Predicate abbreviation P43 FINISHED
Object KCKCC E410201 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: KCKCC | Statement: [KCKCC, abbreviation, KCKCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCKCC
Context triple: [KCKCC, abbreviation, KCKCC]
  • A. KCKCC chosen
    KCKCC is a public community college located in Kansas City, Kansas, offering two-year degree and certificate programs.
  • B. KCK
    KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
  • C. KCC
    KCC is a public community college in Brooklyn, New York, known for offering associate degree programs and serving as an entry point to higher education for a diverse urban student population.
  • D. CKK
    CKK is the station code for Cockle Creek railway station in New South Wales, Australia.
  • E. KCKB
    KCKB is the ICAO airport code for North Central West Virginia Airport, a public airport serving the Clarksburg–Bridgeport area in West Virginia, United States.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.