Triple

T31279321
Position Surface form Disambiguated ID Type / Status
Subject Milner Dam E797616 entity
Predicate operator P179 FINISHED
Object Twin Falls Canal Company
Twin Falls Canal Company is an irrigation organization in Idaho that manages and distributes water from the Snake River to agricultural lands in the Twin Falls region.
E1953571 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: Twin Falls Canal Company | Statement: [Milner Dam, operator, Twin Falls Canal Company]
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: Twin Falls Canal Company
Triple: [Milner Dam, operator, Twin Falls Canal Company]
Generated description
Twin Falls Canal Company is an irrigation organization in Idaho that manages and distributes water from the Snake River to agricultural lands in the Twin Falls region.

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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69dd5003c8190a327f6b154c8b653 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296c0714c48190a8b0630f30dc8968 completed June 10, 2026, 1:52 p.m.
NEDg Description generation batch_6a296d07c1488190a6e252822f8524fd completed June 10, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a299d6014388190973ba4c5f6fadbb3 completed June 10, 2026, 5:22 p.m.
Created at: April 29, 2026, 9:13 p.m.