Triple

T16456371
Position Surface form Disambiguated ID Type / Status
Subject Rural Municipality of Mossey River E399692 entity
Predicate hasGeographicFeature P940 FINISHED
Object Mossey River
Mossey River is a river in Manitoba, Canada, known for flowing through the Rural Municipality of Mossey River and contributing to the region’s natural landscape and local recreation.
E1975113 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: Mossey River | Statement: [Rural Municipality of Mossey River, hasGeographicFeature, Mossey 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: Mossey River
Triple: [Rural Municipality of Mossey River, hasGeographicFeature, Mossey River]
Generated description
Mossey River is a river in Manitoba, Canada, known for flowing through the Rural Municipality of Mossey River and contributing to the region’s natural landscape and local 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7dfd188190b03e9b4151a4d3d8 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b9448def48190b948c9f4dd6a0fa5 completed June 12, 2026, 5:08 a.m.
NEDg Description generation batch_6a2b950959f48190ad19907e9c9a64c6 completed June 12, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a2b957d073081909a1657bd313ad8cd completed June 12, 2026, 5:13 a.m.
Created at: April 10, 2026, 5:10 a.m.