Triple

T2282294
Position Surface form Disambiguated ID Type / Status
Subject Kituba E51306 entity
Predicate hasISO6392Code P189 FINISHED
Object ktu
ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
 E249763 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: ktu | Statement: [Kituba, hasISO6392Code, ktu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ktu
Context triple: [Kituba, hasISO6392Code, ktu]
  • A. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • B. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • C. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • D. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • E. KTTS
    KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
  • 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: ktu
Triple: [Kituba, hasISO6392Code, ktu]
Generated description
ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ktu
Target entity description: ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
  • A. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • B. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • C. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • D. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • E. KTTS
    KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc21d6d748190980128c1bc5b9621 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e7b44c8190ab647646352b71b7 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bf22088190a2c111a71eb0dda7 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae731ab8bc819090fac5b311cb5fe0 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.