Triple

T25608778
Position Surface form Disambiguated ID Type / Status
Subject Conundrum Creek trailhead E641984 entity
Predicate connectedByRoadTo P11435 FINISHED
Object Conundrum Creek Road
Conundrum Creek Road is a mountain access road near Aspen, Colorado, leading into the Conundrum Creek valley and its popular hiking and hot springs areas.
E2289949 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: Conundrum Creek Road | Statement: [Conundrum Creek trailhead, connectedByRoadTo, Conundrum Creek 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: Conundrum Creek Road
Triple: [Conundrum Creek trailhead, connectedByRoadTo, Conundrum Creek Road]
Generated description
Conundrum Creek Road is a mountain access road near Aspen, Colorado, leading into the Conundrum Creek valley and its popular hiking and hot springs 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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9e0d2e88190b51e1eded1627f94 completed May 2, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b816e95cc81909280d4b75e29c7f6 completed July 18, 2026, 1:36 p.m.
NEDg Description generation batch_6a5b81bb1194819095bdf97b108ec9cb completed July 18, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_6a5b828870c08190b90ead832ba0835e completed July 18, 2026, 1:41 p.m.
Created at: April 21, 2026, 4:40 p.m.