Triple

T12758064
Position Surface form Disambiguated ID Type / Status
Subject Leonora E304911 entity
Predicate hasAirport P105 FINISHED
Object Leonora Airport
Leonora Airport is a regional airfield in Leonora, Western Australia, serving the town and surrounding mining areas with passenger and charter flights.
E1004241 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: Leonora Airport | Statement: [Leonora, hasAirport, Leonora Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonora Airport
Context triple: [Leonora, hasAirport, Leonora Airport]
  • A. Ministro Pistarini International Airport
    Ministro Pistarini International Airport is the main international gateway to Buenos Aires and one of Argentina’s busiest and most important airports.
  • B. Sant’Anna Airport
    Sant’Anna Airport is the main civil airport serving the city of Crotone in the Calabria region of southern Italy.
  • C. Eros Airport
    Eros Airport is a domestic and regional airport serving Windhoek, Namibia, primarily handling general aviation and short-haul commercial flights.
  • D. Corvo Airport
    Corvo Airport is a small regional airport serving the remote island of Corvo in Portugal’s Azores archipelago.
  • E. Tito Minniti Airport
    Tito Minniti Airport is a regional civil and military airport serving the city of Reggio Calabria in southern Italy.
  • 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: Leonora Airport
Triple: [Leonora, hasAirport, Leonora Airport]
Generated description
Leonora Airport is a regional airfield in Leonora, Western Australia, serving the town and surrounding mining areas with passenger and charter flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leonora Airport
Target entity description: Leonora Airport is a regional airfield in Leonora, Western Australia, serving the town and surrounding mining areas with passenger and charter flights.
  • A. Ministro Pistarini International Airport
    Ministro Pistarini International Airport is the main international gateway to Buenos Aires and one of Argentina’s busiest and most important airports.
  • B. Sant’Anna Airport
    Sant’Anna Airport is the main civil airport serving the city of Crotone in the Calabria region of southern Italy.
  • C. Eros Airport
    Eros Airport is a domestic and regional airport serving Windhoek, Namibia, primarily handling general aviation and short-haul commercial flights.
  • D. Corvo Airport
    Corvo Airport is a small regional airport serving the remote island of Corvo in Portugal’s Azores archipelago.
  • E. Tito Minniti Airport
    Tito Minniti Airport is a regional civil and military airport serving the city of Reggio Calabria in southern Italy.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb5f4188190a5d014bf68557a96 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691a177f88190be0b7ccf5f9dd6ef completed May 3, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69f692361c3c81909078a19be1a86231 completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:27 p.m.