Triple

T6541605
Position Surface form Disambiguated ID Type / Status
Subject Aizawl E168300 entity
Predicate nearestAirport P22550 FINISHED
Object Lengpui Airport E207892 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: Lengpui Airport | Statement: [Aizawl, nearestAirport, Lengpui Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengpui Airport
Context triple: [Aizawl, nearestAirport, Lengpui Airport]
  • A. Lengpui Airport chosen
    Lengpui Airport is a domestic airport serving Aizawl and the surrounding region in the northeastern Indian state of Mizoram.
  • B. Noi Bai International Airport
    Noi Bai International Airport is the main international gateway serving Hanoi and one of Vietnam’s busiest and largest airports.
  • C. Donyi Polo Airport
    Donyi Polo Airport is a domestic airport serving Itanagar and the surrounding region in the northeastern Indian state of Arunachal Pradesh.
  • D. Naga Airport
    Naga Airport is a domestic airport serving the city of Naga and surrounding areas in the Bicol Region of the Philippines.
  • E. Dhusamareb Airport
    Dhusamareb Airport is a regional airport serving the town of Dhusamareb, the capital of the Galmudug state in central Somalia.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add9036081908917ff27ceed1038 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41d09488190bda71118c299fd31 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.