Triple

T25168452
Position Surface form Disambiguated ID Type / Status
Subject Pocksha Pond E630247 entity
Predicate partOf P40 FINISHED
Object Taunton River watershed
The Taunton River watershed is a major river basin in southeastern Massachusetts that drains a network of rivers, ponds, and wetlands into the Taunton River and ultimately Mount Hope Bay.
E314988 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: Taunton River watershed | Statement: [Pocksha Pond, partOf, Taunton 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: Taunton River watershed
Triple: [Pocksha Pond, partOf, Taunton River watershed]
Generated description
The Taunton River watershed is a major river basin in southeastern Massachusetts that drains a network of rivers, ponds, and wetlands into the Taunton River and ultimately Mount Hope Bay.

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_69e75a87c9b88190ab60731902a99750 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46d43e6d08190bbd8643ea058ceea completed May 1, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad3a7380819083b2048bc2e587cd completed May 22, 2026, 7:23 p.m.
NEDg Description generation batch_6a10ae56b8a48190a448e1a4bd938a2b completed May 22, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a10af45b9048190b1613ef21fa00caf completed May 22, 2026, 7:32 p.m.
Created at: April 21, 2026, 12:18 p.m.