Triple

T35963739
Position Surface form Disambiguated ID Type / Status
Subject Keya Paha River E1040077 entity
Predicate hasTributary P415 FINISHED
Object South Fork Keya Paha River
The South Fork Keya Paha River is a tributary stream in the Great Plains region of the United States that feeds into the larger Keya Paha River system.
E1040077 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: South Fork Keya Paha River | Statement: [Keya Paha River, hasTributary, South Fork Keya Paha 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: South Fork Keya Paha River
Triple: [Keya Paha River, hasTributary, South Fork Keya Paha River]
Generated description
The South Fork Keya Paha River is a tributary stream in the Great Plains region of the United States that feeds into the larger Keya Paha 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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abfb5a148190afeece84bedb2e40 completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3933fa35608190961c8b6f29112717 completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a39423bcb348190aca58d0245630952 completed June 22, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_6a3942edcb3c8190a92a39808aaa3a44 completed June 22, 2026, 2:13 p.m.
Created at: May 3, 2026, 4:07 p.m.