Triple

T24345697
Position Surface form Disambiguated ID Type / Status
Subject Edmond E613632 entity
Predicate hasAirport P105 FINISHED
Object Guthrie–Edmond Regional Airport
Guthrie–Edmond Regional Airport is a public general aviation airport in Oklahoma that serves the cities of Guthrie and Edmond, providing facilities for private, corporate, and training flights.
E1648371 NE FINISHED

How this triple was built (2 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: Guthrie–Edmond Regional Airport | Statement: [Edmond, hasAirport, Guthrie–Edmond Regional Airport]
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: Guthrie–Edmond Regional Airport
Triple: [Edmond, hasAirport, Guthrie–Edmond Regional Airport]
Generated description
Guthrie–Edmond Regional Airport is a public general aviation airport in Oklahoma that serves the cities of Guthrie and Edmond, providing facilities for private, corporate, and training flights.

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_69e2d7ddd29481909e7f539a6072bd71 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29328b0288190a580939e8863b0c2 completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a100fd7da488190b404f382f8151f08 completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136871588190b4e4b4618ab7a400 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10140b2fec8190aa6d805f54926b56 completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 1:58 a.m.