Triple

T1857012
Position Surface form Disambiguated ID Type / Status
Subject Mizoram E41724 entity
Predicate hasAirport P105 FINISHED
Object Lengpui Airport
Lengpui Airport is a domestic airport serving Aizawl and the surrounding region in the northeastern Indian state of Mizoram.
E207892 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: Lengpui Airport | Statement: [Mizoram, hasAirport, Lengpui Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengpui Airport
Context triple: [Mizoram, hasAirport, Lengpui Airport]
  • A. Noi Bai International Airport
    Noi Bai International Airport is the main international gateway serving Hanoi and one of Vietnam’s busiest and largest airports.
  • B. Dabolim Airport
    Dabolim Airport is the main international airport serving the Indian state of Goa, handling both civilian and military air traffic.
  • C. Juanda International Airport
    Juanda International Airport is a major international airport serving the city of Surabaya and the surrounding East Java region in Indonesia.
  • D. Palam Airport
    Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
  • E. Gando Airport
    Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
  • 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: Lengpui Airport
Triple: [Mizoram, hasAirport, Lengpui Airport]
Generated description
Lengpui Airport is a domestic airport serving Aizawl and the surrounding region in the northeastern Indian state of Mizoram.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lengpui Airport
Target entity description: Lengpui Airport is a domestic airport serving Aizawl and the surrounding region in the northeastern Indian state of Mizoram.
  • A. Noi Bai International Airport
    Noi Bai International Airport is the main international gateway serving Hanoi and one of Vietnam’s busiest and largest airports.
  • B. Dabolim Airport
    Dabolim Airport is the main international airport serving the Indian state of Goa, handling both civilian and military air traffic.
  • C. Juanda International Airport
    Juanda International Airport is a major international airport serving the city of Surabaya and the surrounding East Java region in Indonesia.
  • D. Palam Airport
    Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
  • E. Gando Airport
    Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07fc5f08190a195a2f24d7b858a completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1cb5b708190a0b89b157ea9da58 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add2729498819082f6595c57f545a8 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:33 p.m.