Triple

T34477246
Position Surface form Disambiguated ID Type / Status
Subject Black River Recreation Area E885071 entity
Predicate partOf P40 FINISHED
Object Black River watershed
The Black River watershed is the larger drainage basin that collects and channels water from the surrounding landscape into the Black River and its associated ecosystems.
 E2099874 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: Black River watershed | Statement: [Black River Recreation Area, partOf, Black 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: Black River watershed
Triple: [Black River Recreation Area, partOf, Black River watershed]
Generated description
The Black River watershed is the larger drainage basin that collects and channels water from the surrounding landscape into the Black River and its associated ecosystems.

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_69f349c880408190ade571c471ab154a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71ccbb6f081909f8107528622022c completed May 3, 2026, 10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729d3dd2c81909adf1346855adcb8 completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372a8e056881909b8fdd400686cd85 completed June 21, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a372cee72ac81909f21d86ec09a9e24 completed June 21, 2026, 12:14 a.m.
Created at: May 1, 2026, 2:01 a.m.