Triple

T26919542
Position Surface form Disambiguated ID Type / Status
Subject Saugeen River watershed E677607 entity
Predicate containsWatercourse P16952 FINISHED
Object North Saugeen River
The North Saugeen River is a tributary watercourse in southwestern Ontario, Canada, forming part of the larger Saugeen River system that drains into Lake Huron.
 E1760667 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: North Saugeen River | Statement: [Saugeen River watershed, containsWatercourse, North Saugeen 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: North Saugeen River
Triple: [Saugeen River watershed, containsWatercourse, North Saugeen River]
Generated description
The North Saugeen River is a tributary watercourse in southwestern Ontario, Canada, forming part of the larger Saugeen River system that drains into Lake Huron.

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_69eee9bdebc48190ba90a12a63e09c73 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6200c30208190ae0ef84fb7afcee3 completed May 2, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b06199e48190a1da91f03a6f8712 completed June 10, 2026, 12:31 a.m.
NEDg Description generation batch_6a28b1b3d41481908b42370b7ad16ba4 completed June 10, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2561d808190b5fbfc96e46634df completed June 10, 2026, 12:39 a.m.
Created at: April 27, 2026, 6:06 a.m.