Triple

T1388903
Position Surface form Disambiguated ID Type / Status
Subject Tenerife North Airport E29909 entity
Predicate IATAcode P418 FINISHED
Object TFN
TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
 E159845 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: TFN | Statement: [Tenerife North Airport, IATAcode, TFN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TFN
Context triple: [Tenerife North Airport, IATAcode, TFN]
  • A. Tfng
    Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
  • B. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • C. TFC
    TFC is a professional Major League Soccer club based in Toronto, Ontario, known for its passionate fan base and home matches at BMO Field.
  • D. AFN
    AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
  • E. TN
    TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
  • 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: TFN
Triple: [Tenerife North Airport, IATAcode, TFN]
Generated description
TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TFN
Target entity description: TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
  • A. Tfng
    Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
  • B. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • C. TFC
    TFC is a professional Major League Soccer club based in Toronto, Ontario, known for its passionate fan base and home matches at BMO Field.
  • D. AFN
    AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
  • E. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35ce48c81909aaad7dfa2df63fa completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde2202208190894c3633c6a370d8 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acded052a88190945cf7a2af019c68 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69acdf41eb5c819088f2203f33995ccb completed March 8, 2026, 2:30 a.m.
Created at: March 1, 2026, 7:59 p.m.