Triple

T27895133
Position Surface form Disambiguated ID Type / Status
Subject Mattawa River E705465 entity
Predicate hasTributary P415 FINISHED
Object Talon River
The Talon River is a waterway in Ontario, Canada, known for flowing through rugged Canadian Shield terrain and connecting a series of lakes before joining the Mattawa River.
 E2294485 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: Talon River | Statement: [Mattawa River, hasTributary, Talon 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: Talon River
Triple: [Mattawa River, hasTributary, Talon River]
Generated description
The Talon River is a waterway in Ontario, Canada, known for flowing through rugged Canadian Shield terrain and connecting a series of lakes before joining the Mattawa 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_69ef96b490ac8190a412d04c5d009f3e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f639f4025081909f0bd3da46aba55a completed May 2, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bef5687d48190a021b04c19243bde completed Aug. 12, 2026, 3:58 a.m.
NEDg Description generation batch_6a7befcf4c588190923d8362a71ea671 completed Aug. 12, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_6a7bf01d655481908d168ddc071d75e9 completed Aug. 12, 2026, 4:01 a.m.
Created at: April 27, 2026, 6:38 p.m.