Triple

T38453624
Position Surface form Disambiguated ID Type / Status
Subject Glendo Dam E912243 entity
Predicate isDownstreamOf P5956 FINISHED
Object Gray Reef Dam
Gray Reef Dam is a U.S. Bureau of Reclamation dam on the North Platte River in Wyoming, primarily used for water regulation and recreation.
 E2269338 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: Gray Reef Dam | Statement: [Glendo Dam, isDownstreamOf, Gray Reef Dam]
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: Gray Reef Dam
Triple: [Glendo Dam, isDownstreamOf, Gray Reef Dam]
Generated description
Gray Reef Dam is a U.S. Bureau of Reclamation dam on the North Platte River in Wyoming, primarily used for water regulation and recreation.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcce011a6c8190b902a572532334ff completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c2a62c3c8190b13ec55f9433206d completed June 29, 2026, 12:56 a.m.
NEDg Description generation batch_6a41c33375888190ae12623e40f24041 completed June 29, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a41c3b0ec6c8190becf6b8f5287b129 completed June 29, 2026, 1 a.m.
Created at: May 3, 2026, 4:31 p.m.