Triple

T6645819
Position Surface form Disambiguated ID Type / Status
Subject Khasab E150696 entity
Predicate hasAirport P105 FINISHED
Object Khasab Airport
Khasab Airport is a regional airport in the Musandam Governorate of Oman that serves the coastal city of Khasab and its surrounding area.
E610511 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: Khasab Airport | Statement: [Khasab, hasAirport, Khasab Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khasab Airport
Context triple: [Khasab, hasAirport, Khasab Airport]
  • A. Shah Makhdum Airport
    Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
  • B. Zhob Airport
    Zhob Airport is a domestic airport serving the city of Zhob in Balochistan, Pakistan, providing regional air connectivity.
  • C. Garowe Airport
    Garowe Airport is the main civil aviation facility serving the city of Garowe, the capital of the Puntland region in northeastern Somalia.
  • D. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • E. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • 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: Khasab Airport
Triple: [Khasab, hasAirport, Khasab Airport]
Generated description
Khasab Airport is a regional airport in the Musandam Governorate of Oman that serves the coastal city of Khasab and its surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khasab Airport
Target entity description: Khasab Airport is a regional airport in the Musandam Governorate of Oman that serves the coastal city of Khasab and its surrounding area.
  • A. Shah Makhdum Airport
    Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
  • B. Zhob Airport
    Zhob Airport is a domestic airport serving the city of Zhob in Balochistan, Pakistan, providing regional air connectivity.
  • C. Garowe Airport
    Garowe Airport is the main civil aviation facility serving the city of Garowe, the capital of the Puntland region in northeastern Somalia.
  • D. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • E. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01bb290819089c4ff2bd2b5e09b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef48b488190ac08dc37d4a5d514 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f127d9188190849959aaae10f769 completed March 27, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69c6f5318764819092eca02a5f300e2a completed March 27, 2026, 9:22 p.m.
Created at: March 27, 2026, 2 p.m.