Triple

T36925894
Position Surface form Disambiguated ID Type / Status
Subject Green Mountain (Boulder) E913340 entity
Predicate accessibleFrom P1985 FINISHED
Object Realization Point area
The Realization Point area is a popular trailhead and scenic overlook in Boulder's foothills that serves as a gateway to numerous hikes and viewpoints around Green Mountain.
E2205468 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: Realization Point area | Statement: [Green Mountain (Boulder), accessibleFrom, Realization Point area]
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: Realization Point area
Triple: [Green Mountain (Boulder), accessibleFrom, Realization Point area]
Generated description
The Realization Point area is a popular trailhead and scenic overlook in Boulder's foothills that serves as a gateway to numerous hikes and viewpoints around Green Mountain.

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_69f76e896c988190880c130e01303dd4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fde1fbf881909e5474d99404cdfc completed May 5, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e1635cb448190809902854be35266 completed June 26, 2026, 6:03 a.m.
NEDg Description generation batch_6a3e1a1aba9881908a0eba6d1fecb527 completed June 26, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a3e2793859481908bf72829b146edfe completed June 26, 2026, 7:17 a.m.
Created at: May 3, 2026, 4:13 p.m.