Triple

T26919548
Position Surface form Disambiguated ID Type / Status
Subject Saugeen River watershed E677607 entity
Predicate containsWatercourse P16952 FINISHED
Object Flesherton Creek
Flesherton Creek is a small tributary stream in Ontario, Canada, that flows through the community of Flesherton before joining the Saugeen River system.
E1809841 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: Flesherton Creek | Statement: [Saugeen River watershed, containsWatercourse, Flesherton Creek]
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: Flesherton Creek
Triple: [Saugeen River watershed, containsWatercourse, Flesherton Creek]
Generated description
Flesherton Creek is a small tributary stream in Ontario, Canada, that flows through the community of Flesherton before joining the Saugeen 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_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_6a1606e71cac81908efefeb5ca2e6af0 completed May 26, 2026, 8:47 p.m.
NEDg Description generation batch_6a160b9720f481909468de84b921f226 completed May 26, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a160d9ea5688190be4b7377a459f367 completed May 26, 2026, 9:16 p.m.
Created at: April 27, 2026, 6:06 a.m.