Triple

T22531038
Position Surface form Disambiguated ID Type / Status
Subject Sfax–Thyna International Airport E557035 entity
Predicate ICAOcode P419 FINISHED
Object DTTX
DTTX is the ICAO airport code assigned to Sfax–Thyna International Airport in Sfax, Tunisia.
 E1541583 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: DTTX | Statement: [Sfax–Thyna International Airport, ICAOcode, DTTX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DTTX
Context triple: [Sfax–Thyna International Airport, ICAOcode, DTTX]
  • A. DTK
    DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
  • B. DTTL
    DTTL is the legal entity that coordinates and oversees the global network of independent professional services firms operating under the Deloitte brand.
  • C. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • D. DTTA
    DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
  • E. D.T.D.
    "D.T.D." is a notable track by rapper Elgin Turner that showcases his lyrical style and musical identity.
  • 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: DTTX
Triple: [Sfax–Thyna International Airport, ICAOcode, DTTX]
Generated description
DTTX is the ICAO airport code assigned to Sfax–Thyna International Airport in Sfax, Tunisia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DTTX
Target entity description: DTTX is the ICAO airport code assigned to Sfax–Thyna International Airport in Sfax, Tunisia.
  • A. DTK
    DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
  • B. DTTL
    DTTL is the legal entity that coordinates and oversees the global network of independent professional services firms operating under the Deloitte brand.
  • C. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • D. DTTA
    DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
  • E. D.T.D.
    "D.T.D." is a notable track by rapper Elgin Turner that showcases his lyrical style and musical identity.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed6734881908abbbee477dfab98 completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1ddc87308190831920e177374d26 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1ef5d46481909a33c158e1c6283e completed May 18, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1f662ba48190a1d29ffe46b7e4a2 completed May 18, 2026, 2:17 p.m.
Created at: April 16, 2026, 8:51 p.m.