Triple

T18734100
Position Surface form Disambiguated ID Type / Status
Subject Petitcodiac River E458115 entity
Predicate hasMajorTributary P415 FINISHED
Object Anagance River
The Anagance River is a tributary waterway in southeastern New Brunswick, Canada, that feeds into the larger Petitcodiac River system.
 E2162134 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: Anagance River | Statement: [Petitcodiac River, hasMajorTributary, Anagance 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: Anagance River
Triple: [Petitcodiac River, hasMajorTributary, Anagance River]
Generated description
The Anagance River is a tributary waterway in southeastern New Brunswick, Canada, that feeds into the larger Petitcodiac River system.

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7a06788190a8e09c657aaeb8e5 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae0622548190acbb9c4b674e4798 completed June 22, 2026, 3:37 a.m.
NEDg Description generation batch_6a38b06544c481909b80df630265c8b8 completed June 22, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_6a38b0f5d24881909014f9d2539b0138 completed June 22, 2026, 3:50 a.m.
Created at: April 10, 2026, 11:51 a.m.