Triple

T24404950
Position Surface form Disambiguated ID Type / Status
Subject Township of Williamsburg E615286 entity
Predicate containsSettlement P847 FINISHED
Object Williamsburg, Ontario
Williamsburg, Ontario is a small rural community in Eastern Ontario, Canada, historically part of the former Township of Williamsburg in the United Counties of Stormont, Dundas and Glengarry.
E1659706 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: Williamsburg, Ontario | Statement: [Township of Williamsburg, containsSettlement, Williamsburg, Ontario]
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: Williamsburg, Ontario
Triple: [Township of Williamsburg, containsSettlement, Williamsburg, Ontario]
Generated description
Williamsburg, Ontario is a small rural community in Eastern Ontario, Canada, historically part of the former Township of Williamsburg in the United Counties of Stormont, Dundas and Glengarry.

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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294de76848190bd2cf3c7add2dcf1 completed April 29, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1032e0edd081908c131d8c42d23f8e completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1034e935a08190ad56690d23338eca completed May 22, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a10357df90081909f85803c49475ed8 completed May 22, 2026, 10:52 a.m.
Created at: April 18, 2026, 2:05 a.m.