Triple

T2554041
Position Surface form Disambiguated ID Type / Status
Subject Karachi Metropolitan Corporation E56691 entity
Predicate alsoKnownAs P39 FINISHED
Object KMC
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
 E276923 NE FINISHED

How this triple was built (4 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: [Karachi Metropolitan Corporation, alsoKnownAs, KMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMC
Context triple: [Karachi Metropolitan Corporation, alsoKnownAs, KMC]
  • A. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • B. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • C. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • D. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • E. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KMC
Triple: [Karachi Metropolitan Corporation, alsoKnownAs, KMC]
Generated description
KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMC
Target entity description: KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • A. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • B. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • C. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • D. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • E. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • F. None of above. chosen

Provenance (5 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30bc6388190b78f2f931eb54041 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d17ecd0819097c6b95307cc7557 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5e0b40e0819098b6cbe31152a18c completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.