Triple

T4937599
Position Surface form Disambiguated ID Type / Status
Subject Dumna Airport E110849 entity
Predicate IATA code P2569 FINISHED
Object JLR
JLR is the IATA airport code for Dumna Airport, which serves the city of Jabalpur in the Indian state of Madhya Pradesh.
 E481685 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: JLR | Statement: [Dumna Airport, IATA code, JLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JLR
Context triple: [Dumna Airport, IATA code, JLR]
  • A. Jaguar Land Rover
    Jaguar Land Rover is a British multinational automotive company known for designing and manufacturing luxury vehicles under the Jaguar and Land Rover brands.
  • B. LEVC
    LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
  • C. Bentley
    Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
  • D. Bentley
    Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • E. MG Rover Group
    MG Rover Group was a British car manufacturer formed from the remnants of the Rover Group, known for producing MG and Rover-branded vehicles before its collapse in 2005.
  • 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: JLR
Triple: [Dumna Airport, IATA code, JLR]
Generated description
JLR is the IATA airport code for Dumna Airport, which serves the city of Jabalpur in the Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JLR
Target entity description: JLR is the IATA airport code for Dumna Airport, which serves the city of Jabalpur in the Indian state of Madhya Pradesh.
  • A. Jaguar Land Rover
    Jaguar Land Rover is a British multinational automotive company known for designing and manufacturing luxury vehicles under the Jaguar and Land Rover brands.
  • B. LEVC
    LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
  • C. Bentley
    Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
  • D. Bentley
    Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • E. MG Rover Group
    MG Rover Group was a British car manufacturer formed from the remnants of the Rover Group, known for producing MG and Rover-branded vehicles before its collapse in 2005.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70872270819080769dad972681ef completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77bcb8d881908d393223bdea145a completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78747f3881908afe9cf276216bc5 completed March 21, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_69be78d03aec81909a2470306ba90cb0 completed March 21, 2026, 10:54 a.m.
Created at: March 20, 2026, 1:31 p.m.