Triple

T27361918
Position Surface form Disambiguated ID Type / Status
Subject Cazenovia Creek E685848 entity
Predicate partOf P40 FINISHED
Object Niagara River watershed
The Niagara River watershed is the drainage basin that collects water from numerous creeks and rivers in western New York and southern Ontario, ultimately feeding into the Niagara River and its famous falls.
 E1065342 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: Niagara River watershed | Statement: [Cazenovia Creek, partOf, Niagara River watershed]
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: Niagara River watershed
Triple: [Cazenovia Creek, partOf, Niagara River watershed]
Generated description
The Niagara River watershed is the drainage basin that collects water from numerous creeks and rivers in western New York and southern Ontario, ultimately feeding into the Niagara River and its famous falls.

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_69ef14887c288190931b8431fdbf53c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62c23b91c8190a430caf3791f932e completed May 2, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbca05fc8190af7c7c243b23fee9 completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bd0d87a88190a617ee64551f7d93 completed May 24, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a12be3a604c8190887660a427cd9f2f completed May 24, 2026, 9 a.m.
Created at: April 27, 2026, 11:54 a.m.