Triple

T1946030
Position Surface form Disambiguated ID Type / Status
Subject Sirte E42055 entity
Predicate nearbyAirport P350 FINISHED
Object Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
E220634 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: Gardabya Airport | Statement: [Sirte, nearbyAirport, Gardabya Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardabya Airport
Context triple: [Sirte, nearbyAirport, Gardabya Airport]
  • A. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • B. Rabah Bitat Airport
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • C. Taif Regional Airport
    Taif Regional Airport is a public airport serving the city of Taif and surrounding areas in western Saudi Arabia, handling both domestic and limited international flights.
  • D. Shah Makhdum Airport
    Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
  • E. Zhob Airport
    Zhob Airport is a domestic airport serving the city of Zhob in Balochistan, Pakistan, providing regional air connectivity.
  • 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: Gardabya Airport
Triple: [Sirte, nearbyAirport, Gardabya Airport]
Generated description
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gardabya Airport
Target entity description: Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • A. Almaza Airport
    Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
  • B. Rabah Bitat Airport
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • C. Taif Regional Airport
    Taif Regional Airport is a public airport serving the city of Taif and surrounding areas in western Saudi Arabia, handling both domestic and limited international flights.
  • D. Shah Makhdum Airport
    Shah Makhdum Airport is a regional domestic airport serving the city of Rajshahi in western Bangladesh.
  • E. Zhob Airport
    Zhob Airport is a domestic airport serving the city of Zhob in Balochistan, Pakistan, providing regional air connectivity.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbcc5688190aad081dc8d119e7f completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc50a3488190afe44ee5125d9ebd completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfcdccce48190a2591b90c81ad084 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.