Triple

T16206626
Position Surface form Disambiguated ID Type / Status
Subject Mthatha Airport E393344 entity
Predicate hasICAOCode P419 FINISHED
Object FAUT
FAUT is the ICAO airport code for Mthatha Airport in South Africa.
 E1201302 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: FAUT | Statement: [Mthatha Airport, hasICAOCode, FAUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAUT
Context triple: [Mthatha Airport, hasICAOCode, FAUT]
  • A. FAZ
    FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
  • B. FAE
    FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
  • C. FAE
    FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
  • D. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • E. FAF
    FAF is the governing body responsible for overseeing and organizing football activities and competitions in Algeria.
  • 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: FAUT
Triple: [Mthatha Airport, hasICAOCode, FAUT]
Generated description
FAUT is the ICAO airport code for Mthatha Airport in South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAUT
Target entity description: FAUT is the ICAO airport code for Mthatha Airport in South Africa.
  • A. FAZ
    FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
  • B. FAE
    FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
  • C. FAE
    FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
  • D. FAF
    FAF is the governing body responsible for overseeing and organizing football activities and competitions in Algeria.
  • E. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000900bfbc8190b21eb513838759a9 completed May 10, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a000a0fc93c819088d9233aaa5e2017 completed May 10, 2026, 4:31 a.m.
Created at: April 10, 2026, 5:03 a.m.