Triple

T13859646
Position Surface form Disambiguated ID Type / Status
Subject Thermal, California E333156 entity
Predicate airportIATAcode P418 FINISHED
Object TRM
TRM is the IATA airport code for Jacqueline Cochran Regional Airport serving the Thermal, California area.
 E1066513 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: TRM | Statement: [Thermal, California, airportIATAcode, TRM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRM
Context triple: [Thermal, California, airportIATAcode, TRM]
  • A. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • B. TRC
    TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
  • C. TRC
    TRC is the national railway operator of Tanzania, responsible for managing and running the country’s rail transport services.
  • D. TRC
    TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
  • E. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • 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: TRM
Triple: [Thermal, California, airportIATAcode, TRM]
Generated description
TRM is the IATA airport code for Jacqueline Cochran Regional Airport serving the Thermal, California area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRM
Target entity description: TRM is the IATA airport code for Jacqueline Cochran Regional Airport serving the Thermal, California area.
  • A. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • B. TRC
    TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
  • C. TRC
    TRC is the national railway operator of Tanzania, responsible for managing and running the country’s rail transport services.
  • D. TRC
    TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
  • E. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c33c2f34819084502d5f03f09ddd completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:14 p.m.