Triple

T26412814
Position Surface form Disambiguated ID Type / Status
Subject Town of South Bruce Peninsula E664005 entity
Predicate formedFrom P402 FINISHED
Object Township of Amabel
The Township of Amabel was a former rural municipality in Bruce County, Ontario, Canada, that later became part of the Town of South Bruce Peninsula.
E1725496 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: Township of Amabel | Statement: [Town of South Bruce Peninsula, formedFrom, Township of Amabel]
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: Township of Amabel
Triple: [Town of South Bruce Peninsula, formedFrom, Township of Amabel]
Generated description
The Township of Amabel was a former rural municipality in Bruce County, Ontario, Canada, that later became part of the Town of South Bruce Peninsula.

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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61133b4e48190a72364baea0dbac0 completed May 2, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aebc01b481908c4cf12e4c6efd8e completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11b01df9348190a991161aa1fb8018 completed May 23, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a11b1230c148190931c49c9df40caa4 completed May 23, 2026, 1:52 p.m.
Created at: April 26, 2026, 11:39 p.m.