Triple

T10956892
Position Surface form Disambiguated ID Type / Status
Subject Arusha Airport E258868 entity
Predicate ICAOcode P419 FINISHED
Object HTAR
HTAR is the ICAO airport code for Arusha Airport in Tanzania.
 E896645 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: HTAR | Statement: [Arusha Airport, ICAOcode, HTAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HTAR
Context triple: [Arusha Airport, ICAOcode, HTAR]
  • A. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • B. AHT
    AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • C. HAHSTA
    HAHSTA is a public health agency focused on preventing and managing HIV/AIDS, hepatitis, sexually transmitted diseases, and tuberculosis.
  • D. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • E. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • 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: HTAR
Triple: [Arusha Airport, ICAOcode, HTAR]
Generated description
HTAR is the ICAO airport code for Arusha Airport in Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HTAR
Target entity description: HTAR is the ICAO airport code for Arusha Airport in Tanzania.
  • A. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • B. AHT
    AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • C. HAHSTA
    HAHSTA is a public health agency focused on preventing and managing HIV/AIDS, hepatitis, sexually transmitted diseases, and tuberculosis.
  • D. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • E. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771260e9881909401a7a7466e1b8a completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7439204819092fcd061a161fd7b completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:23 p.m.