Triple

T26484087
Position Surface form Disambiguated ID Type / Status
Subject Kiowa County, Oklahoma E664771 entity
Predicate hasTransportation P105 FINISHED
Object State Highway 9
State Highway 9 is a major east–west state highway in Oklahoma that spans much of the state and connects numerous rural communities and regional routes.
 E2297452 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: State Highway 9 | Statement: [Kiowa County, Oklahoma, hasTransportation, State Highway 9]
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: State Highway 9
Triple: [Kiowa County, Oklahoma, hasTransportation, State Highway 9]
Generated description
State Highway 9 is a major east–west state highway in Oklahoma that spans much of the state and connects numerous rural communities and regional routes.

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_69ee883bc85481909885f92415cbce33 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612fd2bdc8190b5f8bcd31b57186f completed May 2, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83859c33fc8190aeddb5540dca44c2 completed Aug. 17, 2026, 10:05 p.m.
NEDg Description generation batch_6a8385da61748190a8ece89f992f8c99 completed Aug. 17, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_6a83862ae0c081908ad0bc083bd2664f completed Aug. 17, 2026, 10:07 p.m.
Created at: April 27, 2026, 12:29 a.m.