Triple

T8748470
Position Surface form Disambiguated ID Type / Status
Subject Lengpui Airport E207892 entity
Predicate IATAcode P418 FINISHED
Object AJL
AJL is the IATA airport code for Lengpui Airport serving Aizawl in the Indian state of Mizoram.
 E755332 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: AJL | Statement: [Lengpui Airport, IATAcode, AJL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AJL
Context triple: [Lengpui Airport, IATAcode, AJL]
  • A. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • B. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. ABJ
    ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
  • E. AJP
    AJP is the standard abbreviation for the American Journal of Physics, a peer-reviewed journal focusing on physics education and the teaching of physics at the undergraduate and graduate levels.
  • 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: AJL
Triple: [Lengpui Airport, IATAcode, AJL]
Generated description
AJL is the IATA airport code for Lengpui Airport serving Aizawl in the Indian state of Mizoram.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AJL
Target entity description: AJL is the IATA airport code for Lengpui Airport serving Aizawl in the Indian state of Mizoram.
  • A. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • B. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • C. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • D. ABJ
    ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
  • E. AJP
    AJP is the standard abbreviation for the American Journal of Physics, a peer-reviewed journal focusing on physics education and the teaching of physics at the undergraduate and graduate levels.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da4214881908b6917f847c43cb5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4313630881909b946cb8a2bdf793 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf4462da648190a621397fa88dd4bd completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf454c4d248190a925b15c23af1a24 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:39 p.m.