Triple

T30029880
Position Surface form Disambiguated ID Type / Status
Subject Kemano hydroelectric project E762985 entity
Predicate associatedWith P37 FINISHED
Object Kenney Dam
Kenney Dam is a large rock-fill dam on the Nechako River in British Columbia, Canada, built to divert water for aluminum production and hydroelectric power generation.
E2279940 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: Kenney Dam | Statement: [Kemano hydroelectric project, associatedWith, Kenney 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: Kenney Dam
Triple: [Kemano hydroelectric project, associatedWith, Kenney Dam]
Generated description
Kenney Dam is a large rock-fill dam on the Nechako River in British Columbia, Canada, built to divert water for aluminum production and hydroelectric power generation.

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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f679af17648190bc90c5dc4afe35e4 completed May 2, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd3bd4fc819091e8c8077a6ef460 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe3f00d08190ae597e4266b901ee completed June 29, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a41fef909448190bb059bf9b7f7e5c6 completed June 29, 2026, 5:13 a.m.
Created at: April 29, 2026, 6:49 p.m.