Triple

T13715322
Position Surface form Disambiguated ID Type / Status
Subject Toccoa Airport – R.G. Letourneau Field E328881 entity
Predicate IATACode P418 FINISHED
Object TOC
TOC is the IATA airport code for Toccoa Airport – R.G. Letourneau Field in Georgia, United States.
 E1058181 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: TOC | Statement: [Toccoa Airport – R.G. Letourneau Field, IATACode, TOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TOC
Context triple: [Toccoa Airport – R.G. Letourneau Field, IATACode, TOC]
  • A. TOC
    TOC (Talk to OSCAR) is a simplified, publicly documented protocol once used by AOL Instant Messenger clients to communicate with AOL’s messaging servers.
  • B. TOC
    TOC is the abbreviation for the Tri-State Oversight Committee, an intergovernmental body that oversees safety and regulatory compliance for certain regional transit systems.
  • C. CTOC
    CTOC is the abbreviation commonly used for the Chinese Taipei Olympic Committee, the organization responsible for overseeing Olympic sports and athletes representing Chinese Taipei.
  • D. TO
    TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
  • E. TO
    TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
  • 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: TOC
Triple: [Toccoa Airport – R.G. Letourneau Field, IATACode, TOC]
Generated description
TOC is the IATA airport code for Toccoa Airport – R.G. Letourneau Field in Georgia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TOC
Target entity description: TOC is the IATA airport code for Toccoa Airport – R.G. Letourneau Field in Georgia, United States.
  • A. TOC
    TOC (Talk to OSCAR) is a simplified, publicly documented protocol once used by AOL Instant Messenger clients to communicate with AOL’s messaging servers.
  • B. TOC
    TOC is the abbreviation for the Tri-State Oversight Committee, an intergovernmental body that oversees safety and regulatory compliance for certain regional transit systems.
  • C. CTOC
    CTOC is the abbreviation commonly used for the Chinese Taipei Olympic Committee, the organization responsible for overseeing Olympic sports and athletes representing Chinese Taipei.
  • D. TO
    TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
  • E. TO
    TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e9e6ff88190b031fb1403cacabc completed May 3, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2d6e7ec81908a4cbc324e793c24 completed May 3, 2026, 7:32 p.m.
Created at: April 9, 2026, 9:54 p.m.