Triple

T2775724
Position Surface form Disambiguated ID Type / Status
Subject Kota Kinabalu E61564 entity
Predicate shortName P43 FINISHED
Object KK
KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
 E297450 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: KK | Statement: [Kota Kinabalu, shortName, KK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KK
Context triple: [Kota Kinabalu, shortName, KK]
  • A. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • B. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • C. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • 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: KK
Triple: [Kota Kinabalu, shortName, KK]
Generated description
KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KK
Target entity description: KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • A. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • B. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • C. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd81015481908785fbef0326a2db completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc058c8a48190bbd151251678b4ee completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.