Triple

T10119950
Position Surface form Disambiguated ID Type / Status
Subject Malay College Kuala Kangsar E223259 entity
Predicate shortName P43 FINISHED
Object MCKK
MCKK is a prestigious Malaysian residential boys’ school, often regarded as one of the country’s leading elite institutions for secondary education.
 E842376 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: MCKK | Statement: [Malay College Kuala Kangsar, shortName, MCKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCKK
Context triple: [Malay College Kuala Kangsar, shortName, MCKK]
  • A. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • B. MKK
    MKK is the IATA airport code for Molokaʻi Airport, the main air gateway to the Hawaiian island of Molokaʻi.
  • C. KMCB
    KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
  • D. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • E. KMC
    KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
  • 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: MCKK
Triple: [Malay College Kuala Kangsar, shortName, MCKK]
Generated description
MCKK is a prestigious Malaysian residential boys’ school, often regarded as one of the country’s leading elite institutions for secondary education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCKK
Target entity description: MCKK is a prestigious Malaysian residential boys’ school, often regarded as one of the country’s leading elite institutions for secondary education.
  • A. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • B. MKK
    MKK is the IATA airport code for Molokaʻi Airport, the main air gateway to the Hawaiian island of Molokaʻi.
  • C. KMCB
    KMCB is the ICAO airport code for McComb-Pike County Airport, a public airport serving McComb in Pike County, Mississippi.
  • D. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • E. KMC
    KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2659cdc8190b3ba91426bda55ec completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc3eb9cc81909546657ff86c87d8 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd8f0a688190a437b7e2d158c70c completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce422e4c8190b54b94cdfa0c4c98 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.