Triple

T13591891
Position Surface form Disambiguated ID Type / Status
Subject LKO E324710 entity
Predicate previousAirportName P87180 FINISHED
Object Amausi Airport E326165 NE FINISHED

How this triple was built (2 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: Amausi Airport | Statement: [LKO, previousAirportName, Amausi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amausi Airport
Context triple: [LKO, previousAirportName, Amausi Airport]
  • A. Amausi Airport chosen
    Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
  • B. Axamo Airport
    Axamo Airport is the former name of Jönköping Airport, a regional airport serving the city of Jönköping in southern Sweden.
  • C. Whenuapai Airport
    Whenuapai Airport is a former Royal New Zealand Air Force base near Auckland that served as the city’s main international airport in the mid-20th century.
  • D. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • E. Valesdir Airport
    Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:49 p.m.