Triple

T30587155
Position Surface form Disambiguated ID Type / Status
Subject Natchaug River E778547 entity
Predicate hasTributary P415 FINISHED
Object Fenton River
The Fenton River is a freshwater stream in northeastern Connecticut known for flowing through the University of Connecticut’s main campus area and contributing to local water supply and recreation.
 E2294392 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: Fenton River | Statement: [Natchaug River, hasTributary, Fenton River]
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: Fenton River
Triple: [Natchaug River, hasTributary, Fenton River]
Generated description
The Fenton River is a freshwater stream in northeastern Connecticut known for flowing through the University of Connecticut’s main campus area and contributing to local water supply and recreation.

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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68977c2148190bc9679fdc90ff482 completed May 2, 2026, 11:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7be12bb9948190852cf38c47925f7c completed Aug. 12, 2026, 2:57 a.m.
NEDg Description generation batch_6a7be19bfb7c8190906061cf9662656e completed Aug. 12, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_6a7be1f2bd6c81908fde62c6b924d63b completed Aug. 12, 2026, 3:01 a.m.
Created at: April 29, 2026, 8:23 p.m.