Triple

T21188700
Position Surface form Disambiguated ID Type / Status
Subject South Fork, Colorado E522154 entity
Predicate traversedBy P225 FINISHED
Object State Highway 149
State Highway 149 is a scenic state highway in Colorado known for winding through the San Juan Mountains and connecting several small mountain communities.
 E2292938 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 149 | Statement: [South Fork, Colorado, traversedBy, State Highway 149]
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 149
Triple: [South Fork, Colorado, traversedBy, State Highway 149]
Generated description
State Highway 149 is a scenic state highway in Colorado known for winding through the San Juan Mountains and connecting several small mountain communities.

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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333403448190bcd9cc0805e414b5 completed April 21, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a462a19c48190ae670af83a848fd2 completed Aug. 10, 2026, 9:44 p.m.
NEDg Description generation batch_6a7a468f53d48190b323d015163a8b1a completed Aug. 10, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a7a46d559c081908403be07a44fded8 completed Aug. 10, 2026, 9:47 p.m.
Created at: April 16, 2026, 3:07 p.m.