Triple

T27149453
Position Surface form Disambiguated ID Type / Status
Subject Delta, Colorado E682344 entity
Predicate transportationRoute P11026 FINISHED
Object State Highway 92
State Highway 92 is a state-maintained roadway in Colorado that serves as a key regional connector in the Delta area and surrounding parts of western Colorado.
E2297890 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 92 | Statement: [Delta, Colorado, transportationRoute, State Highway 92]
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 92
Triple: [Delta, Colorado, transportationRoute, State Highway 92]
Generated description
State Highway 92 is a state-maintained roadway in Colorado that serves as a key regional connector in the Delta area and surrounding parts of western Colorado.

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_69eefaceb2a08190b9659b7f730629f5 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f624c8b4148190990ea6bd13e9e271 completed May 2, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83ee10ccf48190a60581dfe263ee27 completed Aug. 18, 2026, 5:30 a.m.
NEDg Description generation batch_6a83ee4d2dbc8190899ac8ff600e2574 completed Aug. 18, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a83ee8a9ffc8190a153dee634ed2081 completed Aug. 18, 2026, 5:32 a.m.
Created at: April 27, 2026, 9:13 a.m.