Triple

T11651903
Position Surface form Disambiguated ID Type / Status
Subject KMC E276923 entity
Predicate shortName P43 FINISHED
Object KMC unclear NED1 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: KMC | Statement: [KMC, shortName, KMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMC
Context triple: [KMC, shortName, KMC]
  • A. KMC
    KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
  • B. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • C. KMCB
    KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
  • D. KMMC
    KMMC is an Indian music conservatory founded by composer A. R. Rahman that offers professional training in Western and Indian classical music and music technology.
  • E. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2d01f9c8190849f252f22519550 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee880eccc4819096e2b3305cdb3239 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.