Triple

T36100377
Position Surface form Disambiguated ID Type / Status
Subject Dillon Reservoir E1044186 entity
Predicate connectedByTunnelTo P845 FINISHED
Object Roberts Tunnel
Roberts Tunnel is a major water diversion tunnel in Colorado that conveys water from the Blue River basin beneath the Continental Divide to the South Platte River system.
E2169101 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: Roberts Tunnel | Statement: [Dillon Reservoir, connectedByTunnelTo, Roberts Tunnel]
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: Roberts Tunnel
Triple: [Dillon Reservoir, connectedByTunnelTo, Roberts Tunnel]
Generated description
Roberts Tunnel is a major water diversion tunnel in Colorado that conveys water from the Blue River basin beneath the Continental Divide to the South Platte River system.

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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b28fcda88190b6c011fa1981d66f completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d54edf54819096508999538860bf completed June 22, 2026, 6:25 a.m.
NEDg Description generation batch_6a38d5fbbf84819083a18d64edddbbe6 completed June 22, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a38d69d54f48190b43baa60bfa8fe85 completed June 22, 2026, 6:30 a.m.
Created at: May 3, 2026, 4:08 p.m.