Triple

T26919544
Position Surface form Disambiguated ID Type / Status
Subject Saugeen River watershed E677607 entity
Predicate containsWatercourse P16952 FINISHED
Object Teeswater River
The Teeswater River is a tributary watercourse in southwestern Ontario, Canada, that flows through agricultural landscapes before joining the Saugeen River.
E1935169 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: Teeswater River | Statement: [Saugeen River watershed, containsWatercourse, Teeswater 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: Teeswater River
Triple: [Saugeen River watershed, containsWatercourse, Teeswater River]
Generated description
The Teeswater River is a tributary watercourse in southwestern Ontario, Canada, that flows through agricultural landscapes before joining the Saugeen River.

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_6a28c7a394f4819097c064774bc1a5b7 completed June 10, 2026, 2:10 a.m.
NEDg Description generation batch_6a28c9ad2abc819092e3594cd9dce679 completed June 10, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_6a28ca0facb88190acd8987e118ef8fc completed June 10, 2026, 2:21 a.m.
Created at: April 27, 2026, 6:06 a.m.