Triple

T4627840
Position Surface form Disambiguated ID Type / Status
Subject Toulon–Hyères Airport E101141 entity
Predicate IATAcode P418 FINISHED
Object TLN
TLN is the IATA airport code for Toulon–Hyères Airport, a regional airport serving the Toulon area in southern France.
 E457581 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: TLN | Statement: [Toulon–Hyères Airport, IATAcode, TLN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TLN
Context triple: [Toulon–Hyères Airport, IATAcode, TLN]
  • A. TNN
    TNN, originally known as The Nashville Network, was a U.S. cable television channel that evolved from country-music-focused programming into a broader general entertainment network before rebranding as Spike.
  • B. HLN
    HLN is an American cable news channel, originally launched as CNN Headline News, that focuses on concise news updates and true-crime programming.
  • C. TNLA
    TNLA is the commonly used acronym for the Tamil Nadu Legislative Assembly, the unicameral law-making body of the Indian state of Tamil Nadu.
  • D. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • E. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • 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: TLN
Triple: [Toulon–Hyères Airport, IATAcode, TLN]
Generated description
TLN is the IATA airport code for Toulon–Hyères Airport, a regional airport serving the Toulon area in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TLN
Target entity description: TLN is the IATA airport code for Toulon–Hyères Airport, a regional airport serving the Toulon area in southern France.
  • A. TNN
    TNN, originally known as The Nashville Network, was a U.S. cable television channel that evolved from country-music-focused programming into a broader general entertainment network before rebranding as Spike.
  • B. HLN
    HLN is an American cable news channel, originally launched as CNN Headline News, that focuses on concise news updates and true-crime programming.
  • C. TNLA
    TNLA is the commonly used acronym for the Tamil Nadu Legislative Assembly, the unicameral law-making body of the Indian state of Tamil Nadu.
  • D. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • E. TN
    TN is the official two-letter U.S. Postal Service abbreviation for the state of Tennessee.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a2e9780819081add547c760abc9 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaafa6108190bad95e2a7e5a2ff8 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb56021081909b23d22770bf3c88 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbf15f1481908b76bcdd37ebd4ce completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:13 p.m.