Triple

T17382694
Position Surface form Disambiguated ID Type / Status
Subject Baidoa E422608 entity
Predicate hasAirport P105 FINISHED
Object Baidoa Airport
Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
E1268921 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: Baidoa Airport | Statement: [Baidoa, hasAirport, Baidoa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baidoa Airport
Context triple: [Baidoa, hasAirport, Baidoa Airport]
  • A. 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.
  • B. Rinas Airport
    Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
  • C. Humera Airport
    Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
  • D. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • E. Dabolim Airport
    Dabolim Airport is the main international airport serving the Indian state of Goa, handling both civilian and military air traffic.
  • 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: Baidoa Airport
Triple: [Baidoa, hasAirport, Baidoa Airport]
Generated description
Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baidoa Airport
Target entity description: Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
  • A. 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.
  • B. Rinas Airport
    Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
  • C. Humera Airport
    Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
  • D. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • E. Dabolim Airport
    Dabolim Airport is the main international airport serving the Indian state of Goa, handling both civilian and military air traffic.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a86d8cc81909281b22f5da87d70 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afe30600819089bcff2fb074872e completed May 11, 2026, 10:30 a.m.
NEDg Description generation batch_6a01b1151a488190ad4523c48f9e305c completed May 11, 2026, 10:36 a.m.
NED2 Entity disambiguation (via description) batch_6a01b18771f481908fb98fce28d7a72e completed May 11, 2026, 10:37 a.m.
Created at: April 10, 2026, 5:45 a.m.