Triple

T17668097
Position Surface form Disambiguated ID Type / Status
Subject Río Rahue E440439 entity
Predicate passesNear P416 FINISHED
Object Osorno Airport
Osorno Airport is a regional airport serving the city of Osorno in southern Chile’s Los Lagos Region, providing domestic air connections for the surrounding area.
E1280537 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: Osorno Airport | Statement: [Río Rahue, passesNear, Osorno Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osorno Airport
Context triple: [Río Rahue, passesNear, Osorno Airport]
  • A. Benito Salas Airport
    Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
  • B. Pichoy Airport
    Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
  • C. Albano Machado Airport
    Albano Machado Airport is the main public airport serving the city of Huambo in central Angola.
  • D. Vilo Acuña Airport
    Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
  • E. Evelio Javier Airport
    Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
  • 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: Osorno Airport
Triple: [Río Rahue, passesNear, Osorno Airport]
Generated description
Osorno Airport is a regional airport serving the city of Osorno in southern Chile’s Los Lagos Region, providing domestic air connections for the surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Osorno Airport
Target entity description: Osorno Airport is a regional airport serving the city of Osorno in southern Chile’s Los Lagos Region, providing domestic air connections for the surrounding area.
  • A. Benito Salas Airport
    Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
  • B. Pichoy Airport
    Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
  • C. Albano Machado Airport
    Albano Machado Airport is the main public airport serving the city of Huambo in central Angola.
  • D. Vilo Acuña Airport
    Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
  • E. Evelio Javier Airport
    Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6723d081908eaa57eef6d70bd0 completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021660717c8190a2d82466910ebd67 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a0217b86b3881909d26d9e28992c79e completed May 11, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a02182a78c081909e92baecf662fbba completed May 11, 2026, 5:55 p.m.
Created at: April 10, 2026, 9:58 a.m.