Triple

T2712666
Position Surface form Disambiguated ID Type / Status
Subject Yola E59897 entity
Predicate hasAirport P105 FINISHED
Object Yola Airport
Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
E297029 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: Yola Airport | Statement: [Yola, hasAirport, Yola Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yola Airport
Context triple: [Yola, hasAirport, Yola Airport]
  • A. Bata Airport
    Bata Airport is the main public airport serving the coastal city of Bata in Equatorial Guinea, handling both domestic and limited international flights.
  • B. Puyo Airport
    Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
  • C. Sibulan Airport
    Sibulan Airport is a domestic airport serving Dumaguete and the surrounding areas in Negros Oriental, in the Central Visayas region of the Philippines.
  • D. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • E. Sabha Airport
    Sabha Airport is a public airport serving the city of Sabha in southwestern Libya, providing regional air transport connections for the surrounding Fezzan region.
  • 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: Yola Airport
Triple: [Yola, hasAirport, Yola Airport]
Generated description
Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yola Airport
Target entity description: Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
  • A. Bata Airport
    Bata Airport is the main public airport serving the coastal city of Bata in Equatorial Guinea, handling both domestic and limited international flights.
  • B. Puyo Airport
    Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
  • C. Sibulan Airport
    Sibulan Airport is a domestic airport serving Dumaguete and the surrounding areas in Negros Oriental, in the Central Visayas region of the Philippines.
  • D. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • E. Sabha Airport
    Sabha Airport is a public airport serving the city of Sabha in southwestern Libya, providing regional air transport connections for the surrounding Fezzan region.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda90d5a88190bcb6caefd8f2dd1b completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc030c9b88190934f96a8ff74c4a7 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0f5e8dc8190bc371467a872bfc6 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc159d0908190b4afe1a6b122076e completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:55 p.m.