Triple

T17265938
Position Surface form Disambiguated ID Type / Status
Subject Elbert County, Colorado E419125 entity
Predicate hasTransportation P105 FINISHED
Object State Highway 86
State Highway 86 is a state-maintained roadway in Colorado that serves as an important east–west route connecting several communities on the eastern plains and along the Front Range.
 E2285373 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 86 | Statement: [Elbert County, Colorado, hasTransportation, State Highway 86]
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 86
Triple: [Elbert County, Colorado, hasTransportation, State Highway 86]
Generated description
State Highway 86 is a state-maintained roadway in Colorado that serves as an important east–west route connecting several communities on the eastern plains and along the Front Range.

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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f44ec7c81909a925fc8692b0a6c completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a45e4b938588190aa9cd524635fd083 completed July 2, 2026, 4:10 a.m.
NEDg Description generation batch_6a45eac1bde88190a366d8eaa38b89c6 completed July 2, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_6a45eb7685d48190af5a26b894c84c9f completed July 2, 2026, 4:39 a.m.
Created at: April 10, 2026, 5:40 a.m.