Triple

T18432357
Position Surface form Disambiguated ID Type / Status
Subject Texarkana Regional Airport E450301 entity
Predicate hasICAOcode P419 FINISHED
Object KTXK
KTXK is the ICAO airport code for Texarkana Regional Airport, a public airport serving the Texarkana area on the Texas–Arkansas border.
E450301 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: KTXK | Statement: [Texarkana Regional Airport, hasICAOcode, KTXK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTXK
Context triple: [Texarkana Regional Airport, hasICAOcode, KTXK]
  • A. KTXH
    KTXH is a Houston-based television station that serves the local market with syndicated and network programming.
  • B. KDXR
    KDXR is the ICAO airport code for Danbury Municipal Airport, a public airport serving Danbury, Connecticut.
  • C. TXK
    TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
  • D. KTX
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • E. KTX
    KTX is a Khronos Group-defined container format for efficiently storing and transmitting GPU-ready texture data in graphics applications.
  • 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: KTXK
Triple: [Texarkana Regional Airport, hasICAOcode, KTXK]
Generated description
KTXK is the ICAO airport code for Texarkana Regional Airport, a public airport serving the Texarkana area on the Texas–Arkansas border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KTXK
Target entity description: KTXK is the ICAO airport code for Texarkana Regional Airport, a public airport serving the Texarkana area on the Texas–Arkansas border.
  • A. KTXH
    KTXH is a Houston-based television station that serves the local market with syndicated and network programming.
  • B. KDXR
    KDXR is the ICAO airport code for Danbury Municipal Airport, a public airport serving Danbury, Connecticut.
  • C. TXK chosen
    TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
  • D. KTX
    KTX is a Khronos Group-defined container format for efficiently storing and transmitting GPU-ready texture data in graphics applications.
  • E. KTX
    KTX is South Korea’s high-speed rail service that connects major cities such as Seoul and Busan.
  • F. None of above.

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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b183adc8190987bc7749d0e673c completed April 19, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fd930f48190964028216a09e56d completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a043a81cd58819089df50804870952e completed May 13, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a043c0580048190afd9fe46e6863918 completed May 13, 2026, 8:53 a.m.
Created at: April 10, 2026, 11:26 a.m.