Triple

T17252274
Position Surface form Disambiguated ID Type / Status
Subject Lookout Mountain (Colorado) E418784 entity
Predicate accessedBy P1985 FINISHED
Object Lookout Mountain Road
Lookout Mountain Road is a scenic, winding mountain roadway in Colorado known for its panoramic views and access to Lookout Mountain and nearby outdoor recreation areas.
E1773466 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: Lookout Mountain Road | Statement: [Lookout Mountain (Colorado), accessedBy, Lookout Mountain Road]
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: Lookout Mountain Road
Triple: [Lookout Mountain (Colorado), accessedBy, Lookout Mountain Road]
Generated description
Lookout Mountain Road is a scenic, winding mountain roadway in Colorado known for its panoramic views and access to Lookout Mountain and nearby outdoor recreation areas.

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_69e42e694f788190a1c86e95264ed2fe completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12b209a2888190ab97a5f521f17322 completed May 24, 2026, 8:08 a.m.
NEDg Description generation batch_6a12b4a525b88190bb16afa9a4ff84c7 completed May 24, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a12b545d37881909ea7fd3c96e8272b completed May 24, 2026, 8:22 a.m.
Created at: April 10, 2026, 5:39 a.m.