Triple

T12466977
Position Surface form Disambiguated ID Type / Status
Subject Maharana Pratap Airport E297947 entity
Predicate alsoKnownAs P39 FINISHED
Object Dabok Airport
Dabok Airport is a domestic airport serving the city of Udaipur in Rajasthan, India, and is officially named Maharana Pratap Airport.
E996229 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: Dabok Airport | Statement: [Maharana Pratap Airport, alsoKnownAs, Dabok Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dabok Airport
Context triple: [Maharana Pratap Airport, alsoKnownAs, Dabok Airport]
  • A. Awang Airport
    Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
  • B. Dumatubin Airport
    Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
  • C. Kalemie Airport
    Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
  • D. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • E. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • 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: Dabok Airport
Triple: [Maharana Pratap Airport, alsoKnownAs, Dabok Airport]
Generated description
Dabok Airport is a domestic airport serving the city of Udaipur in Rajasthan, India, and is officially named Maharana Pratap Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dabok Airport
Target entity description: Dabok Airport is a domestic airport serving the city of Udaipur in Rajasthan, India, and is officially named Maharana Pratap Airport.
  • A. Awang Airport
    Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
  • B. Dumatubin Airport
    Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
  • C. Kalemie Airport
    Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
  • D. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • E. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db979c481908778188794b2c08e completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66859c0448190980c5e490cc41118 completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669c9454081909d39d5bb7082fb00 completed May 2, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 8, 2026, 9:56 p.m.