Triple

T36097267
Position Surface form Disambiguated ID Type / Status
Subject Louisville, Colorado E1044096 entity
Predicate trailsSystem P77360 FINISHED
Object Coal Creek Trail
Coal Creek Trail is a popular multi-use recreational path in Louisville, Colorado, known for following Coal Creek through open space areas and connecting parks, neighborhoods, and regional trail networks.
 E2168108 NE FINISHED

How this triple was built (3 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: Coal Creek Trail | Statement: [Louisville, Colorado, trailsSystem, Coal Creek Trail]
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: Coal Creek Trail
Triple: [Louisville, Colorado, trailsSystem, Coal Creek Trail]
Generated description
Coal Creek Trail is a popular multi-use recreational path in Louisville, Colorado, known for following Coal Creek through open space areas and connecting parks, neighborhoods, and regional trail networks.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: trailsSystem
Context triple: [Louisville, Colorado, trailsSystem, Coal Creek Trail]
  • A. showsTrails
    Indicates that one entity visually displays or renders the trails or paths associated with another entity.
  • B. isPartOfTrailSystem chosen
    Indicates that something belongs to, or is included within, a larger trail network or trail system.
  • C. trailsBehind
    Indicates that one entity follows or moves after another, remaining at a distance behind it in space, time, or progress.
  • D. trailsMarkedBy
    Indicates that a trail or path is designated or identified by specific markers, signs, or blazes placed along its route.
  • E. trailName
    Indicates the name assigned to a specific trail or path in the relationship.
  • F. None of above.

Provenance (6 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_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d54aab248190a865e10399e92f5a completed June 22, 2026, 6:25 a.m.
NEDg Description generation batch_6a38d5e83b58819080bd6a95a17f6b2b completed June 22, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_6a38d67cd2c081908e943d16fade52ed completed June 22, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.