Triple

T31780763
Position Surface form Disambiguated ID Type / Status
Subject Northumberland County, New Brunswick E811194 entity
Predicate contains P35 FINISHED
Object Tabusintac River
The Tabusintac River is a waterway in northeastern New Brunswick, Canada, known for its scenic estuary, rich birdlife, and traditional fishing activities.
E2244512 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: Tabusintac River | Statement: [Northumberland County, New Brunswick, contains, Tabusintac 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: Tabusintac River
Triple: [Northumberland County, New Brunswick, contains, Tabusintac River]
Generated description
The Tabusintac River is a waterway in northeastern New Brunswick, Canada, known for its scenic estuary, rich birdlife, and traditional fishing activities.

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_69f348e544a48190ab6e700b05f6438c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abe4b214819082e76060f09b4a27 completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb5d9a448190808c8fba124ef699 completed June 28, 2026, 10:45 a.m.
NEDg Description generation batch_6a40fbf76f28819084cae2d29252ac84 completed June 28, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a40fc8326d48190bd0b3602ecac7dfd completed June 28, 2026, 10:50 a.m.
Created at: April 30, 2026, 11:36 p.m.