Triple

T27436675
Position Surface form Disambiguated ID Type / Status
Subject Loup River E690803 entity
Predicate hasTributary P415 FINISHED
Object Middle Loup River
The Middle Loup River is a major river in central Nebraska that flows through the Sandhills region and contributes significantly to the Loup River system and local agriculture.
 E1773753 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: Middle Loup River | Statement: [Loup River, hasTributary, Middle Loup River]
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: Middle Loup River
Triple: [Loup River, hasTributary, Middle Loup River]
Generated description
The Middle Loup River is a major river in central Nebraska that flows through the Sandhills region and contributes significantly to the Loup River system and local agriculture.

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_69ef5200fa0481908e28508d6e2c149e completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b252b7088190b4c187a3fae4ba20 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b43a4b008190917ce4b7f25e670b completed May 24, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a12b50444b88190947f0c2989954233 completed May 24, 2026, 8:21 a.m.
Created at: April 27, 2026, 12:44 p.m.