Triple

T27374164
Position Surface form Disambiguated ID Type / Status
Subject Van Duzen River E691014 entity
Predicate namedAfter P63 FINISHED
Object Van Duzen family
The Van Duzen family is a local settler family in Northern California whose name was given to the Van Duzen River.
 E1771201 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: Van Duzen family | Statement: [Van Duzen River, namedAfter, Van Duzen family]
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: Van Duzen family
Triple: [Van Duzen River, namedAfter, Van Duzen family]
Generated description
The Van Duzen family is a local settler family in Northern California whose name was given to the Van Duzen 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_69ef52022538819081f873d0c84a6dd6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c649f908190807c02d3f65942a4 completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7e5fdb4819093fccc56cfff0cae completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a9ef43ac819097d5c47108692c15 completed May 24, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12ab2c6840819085f11be72866c959 completed May 24, 2026, 7:39 a.m.
Created at: April 27, 2026, 12:20 p.m.