Triple

T29285885
Position Surface form Disambiguated ID Type / Status
Subject Warren Falls E742509 entity
Predicate partOf P40 FINISHED
Object Mad River watershed
The Mad River watershed is a river basin in central Vermont that drains the Mad River and its tributaries through a scenic, largely rural landscape before joining the Winooski River.
 E1859372 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: Mad River watershed | Statement: [Warren Falls, partOf, Mad 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: Mad River watershed
Triple: [Warren Falls, partOf, Mad River watershed]
Generated description
The Mad River watershed is a river basin in central Vermont that drains the Mad River and its tributaries through a scenic, largely rural landscape before joining the Winooski 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_69f09121ed8c8190b4cb27be3619c262 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66519d4b88190a035f0a51b69de2f completed May 2, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2589432edc8190b123520f1c32bec0 completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258f23d22c8190bc376f4d03c0e00b completed June 7, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_6a259327460081909a0004657a10d2a7 completed June 7, 2026, 3:49 p.m.
Created at: April 28, 2026, 12:58 p.m.