Triple

T1675668
Position Surface form Disambiguated ID Type / Status
Subject Mehrabad International Airport E36225 entity
Predicate IATAcode P418 FINISHED
Object THR
THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
E189764 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: THR | Statement: [Mehrabad International Airport, IATAcode, THR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: THR
Context triple: [Mehrabad International Airport, IATAcode, THR]
  • A. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. TW
    TW is a UK postcode area in southwest London and parts of Surrey, covering towns such as Twickenham and Staines-upon-Thames.
  • D. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • E. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • 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: THR
Triple: [Mehrabad International Airport, IATAcode, THR]
Generated description
THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: THR
Target entity description: THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • A. TH
    TH is the two-letter ISO 3166-1 alpha-2 country code assigned to Thailand for international standardization and identification.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. TW
    TW is a UK postcode area in southwest London and parts of Surrey, covering towns such as Twickenham and Staines-upon-Thames.
  • D. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • E. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625cb1a08190bf7b138c5bfb90b2 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b7c2608190bce1dc7469da4c45 completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad72deafcc8190a2aef87277c5d731 completed March 8, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69ad734440ac81909cbcf1c02fd4bc66 completed March 8, 2026, 1:01 p.m.
Created at: March 4, 2026, 7:29 p.m.