Triple

T8686530
Position Surface form Disambiguated ID Type / Status
Subject Trabzon Airport E206172 entity
Predicate IATAcode P418 FINISHED
Object TZX
TZX is the IATA airport code for Trabzon Airport, a regional airport serving the city of Trabzon on Turkey’s Black Sea coast.
 E751362 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: TZX | Statement: [Trabzon Airport, IATAcode, TZX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TZX
Context triple: [Trabzon Airport, IATAcode, TZX]
  • A. ZTM
    ZTM is a notable work created by Z-Money, likely recognized as one of the artist's key music releases.
  • B. ZYTX
    ZYTX is the ICAO airport code for Shenyang Taoxian International Airport, a major airport serving Shenyang in northeastern China.
  • C. TXP
    TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
  • D. TX-10
    TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
  • E. TX-12
    TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to the U.S. House of Representatives.
  • 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: TZX
Triple: [Trabzon Airport, IATAcode, TZX]
Generated description
TZX is the IATA airport code for Trabzon Airport, a regional airport serving the city of Trabzon on Turkey’s Black Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TZX
Target entity description: TZX is the IATA airport code for Trabzon Airport, a regional airport serving the city of Trabzon on Turkey’s Black Sea coast.
  • A. ZTM
    ZTM is a notable work created by Z-Money, likely recognized as one of the artist's key music releases.
  • B. ZYTX
    ZYTX is the ICAO airport code for Shenyang Taoxian International Airport, a major airport serving Shenyang in northeastern China.
  • C. TXP
    TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
  • D. TX-10
    TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
  • E. TX-12
    TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to the U.S. House of Representatives.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:33 p.m.