Triple

T19935682
Position Surface form Disambiguated ID Type / Status
Subject Rewa district E479168 entity
Predicate hasAirport P105 FINISHED
Object Rewa Airport
Rewa Airport is a regional airport serving the city and surrounding Rewa district in the Indian state of Madhya Pradesh.
E1402627 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: Rewa Airport | Statement: [Rewa district, hasAirport, Rewa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rewa Airport
Context triple: [Rewa district, hasAirport, Rewa Airport]
  • A. Dhusamareb Airport
    Dhusamareb Airport is a regional airport serving the town of Dhusamareb, the capital of the Galmudug state in central Somalia.
  • B. Sardar Jangal Airport
    Sardar Jangal Airport is the main domestic airport serving the city of Rasht in Iran’s Gilan Province.
  • C. Kheria Airport
    Kheria Airport is a domestic and military airfield serving the city of Agra in Uttar Pradesh, India, located near the Taj Mahal and operated jointly by the Indian Air Force and civil aviation authorities.
  • D. Rinas Airport
    Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
  • E. Baidoa Airport
    Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
  • 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: Rewa Airport
Triple: [Rewa district, hasAirport, Rewa Airport]
Generated description
Rewa Airport is a regional airport serving the city and surrounding Rewa district in the Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rewa Airport
Target entity description: Rewa Airport is a regional airport serving the city and surrounding Rewa district in the Indian state of Madhya Pradesh.
  • A. Dhusamareb Airport
    Dhusamareb Airport is a regional airport serving the town of Dhusamareb, the capital of the Galmudug state in central Somalia.
  • B. Sardar Jangal Airport
    Sardar Jangal Airport is the main domestic airport serving the city of Rasht in Iran’s Gilan Province.
  • C. Kheria Airport
    Kheria Airport is a domestic and military airfield serving the city of Agra in Uttar Pradesh, India, located near the Taj Mahal and operated jointly by the Indian Air Force and civil aviation authorities.
  • D. Rinas Airport
    Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
  • E. Baidoa Airport
    Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6ea0dcc8190b1e987a54115ae3e completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f7d235688190971c9c0063669470 completed May 16, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_6a07f891e5c081909e30e9ce7c271359 completed May 16, 2026, 4:54 a.m.
Created at: April 10, 2026, 1:53 p.m.