Triple

T8010384
Position Surface form Disambiguated ID Type / Status
Subject Haʻapai E186472 entity
Predicate hasAirport P105 FINISHED
Object Lifuka Island Airport
Lifuka Island Airport is a small regional airport serving the island of Lifuka and the Haʻapai island group in Tonga.
E707330 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: Lifuka Island Airport | Statement: [Haʻapai, hasAirport, Lifuka Island Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifuka Island Airport
Context triple: [Haʻapai, hasAirport, Lifuka Island Airport]
  • A. Labasa Airport
    Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
  • B. Vunisea Airport
    Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
  • C. Nikunau Airport
    Nikunau Airport is a small public airstrip serving the remote island of Nikunau in the Republic of Kiribati, providing vital regional air connectivity.
  • D. Amausi Airport
    Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
  • E. Talagi Airport
    Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
  • 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: Lifuka Island Airport
Triple: [Haʻapai, hasAirport, Lifuka Island Airport]
Generated description
Lifuka Island Airport is a small regional airport serving the island of Lifuka and the Haʻapai island group in Tonga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lifuka Island Airport
Target entity description: Lifuka Island Airport is a small regional airport serving the island of Lifuka and the Haʻapai island group in Tonga.
  • A. Labasa Airport
    Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
  • B. Vunisea Airport
    Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
  • C. Nikunau Airport
    Nikunau Airport is a small public airstrip serving the remote island of Nikunau in the Republic of Kiribati, providing vital regional air connectivity.
  • D. Amausi Airport
    Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
  • E. Talagi Airport
    Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.