Triple

T11651681
Position Surface form Disambiguated ID Type / Status
Subject KHI E276917 entity
Predicate airportICAOCode P419 FINISHED
Object OPKC E276918 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: OPKC | Statement: [KHI, airportICAOCode, OPKC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPKC
Context triple: [KHI, airportICAOCode, OPKC]
  • A. OPKC chosen
    OPKC is the ICAO airport code for Jinnah International Airport, the main international gateway serving Karachi, Pakistan.
  • B. AOPC
    AOPC is the central administrative agency responsible for overseeing and supporting the operations of Pennsylvania’s Unified Judicial System.
  • C. OCYP
    OCYP is the acronym for the Office of Child and Youth Protection, an organization focused on safeguarding the welfare and rights of children and young people.
  • D. KPOU
    KPOU is the ICAO airport code for Hudson Valley Regional Airport in Dutchess County, New York.
  • E. OPIC
    OPIC is an international human rights treaty mechanism that allows children or their representatives to bring complaints about violations of their rights under the Convention on the Rights of the Child to a UN committee.
  • 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_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.