Triple

T2268586
Position Surface form Disambiguated ID Type / Status
Subject Ghat E50604 entity
Predicate hasAirport P105 FINISHED
Object Ghat Airport
Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
E249988 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: Ghat Airport | Statement: [Ghat, hasAirport, Ghat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghat Airport
Context triple: [Ghat, hasAirport, Ghat Airport]
  • A. Kumbhirgram Airport
    Kumbhirgram Airport is a domestic airport serving the city of Silchar in the Indian state of Assam.
  • B. Nal Airport
    Nal Airport is a domestic airport serving the city of Bikaner in the Indian state of Rajasthan.
  • C. Jabalpur Airport
    Jabalpur Airport is a domestic airport in Madhya Pradesh, India, serving the city of Jabalpur and its surrounding region.
  • D. Cooch Behar Airport
    Cooch Behar Airport is a small domestic airport serving the town of Cooch Behar and surrounding areas in the Indian state of West Bengal.
  • E. Jamnagar Airport
    Jamnagar Airport is a domestic airport in Jamnagar, Gujarat, India, serving as a key regional hub for civilian flights and nearby industrial and defense facilities.
  • 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: Ghat Airport
Triple: [Ghat, hasAirport, Ghat Airport]
Generated description
Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ghat Airport
Target entity description: Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
  • A. Kumbhirgram Airport
    Kumbhirgram Airport is a domestic airport serving the city of Silchar in the Indian state of Assam.
  • B. Nal Airport
    Nal Airport is a domestic airport serving the city of Bikaner in the Indian state of Rajasthan.
  • C. Jabalpur Airport
    Jabalpur Airport is a domestic airport in Madhya Pradesh, India, serving the city of Jabalpur and its surrounding region.
  • D. Cooch Behar Airport
    Cooch Behar Airport is a small domestic airport serving the town of Cooch Behar and surrounding areas in the Indian state of West Bengal.
  • E. Jamnagar Airport
    Jamnagar Airport is a domestic airport in Jamnagar, Gujarat, India, serving as a key regional hub for civilian flights and nearby industrial and defense facilities.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bbb49c8190822c7d809375e879 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d70e488190a2f8276dd7a7bf9e completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae7470e3ac8190ac6e8f7cd10a4262 completed March 9, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae751895808190aac33870d80aab55 completed March 9, 2026, 7:22 a.m.
Created at: March 4, 2026, 7:48 p.m.