Triple

T27125067
Position Surface form Disambiguated ID Type / Status
Subject Chippewas of Georgina Island First Nation E687104 entity
Predicate locatedIn P40 FINISHED
Object Lake Simcoe region
The Lake Simcoe region is an area in south-central Ontario, Canada, centered around Lake Simcoe and its surrounding communities, ecosystems, and Indigenous territories.
E1315672 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: Lake Simcoe region | Statement: [Chippewas of Georgina Island First Nation, locatedIn, Lake Simcoe region]
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: Lake Simcoe region
Triple: [Chippewas of Georgina Island First Nation, locatedIn, Lake Simcoe region]
Generated description
The Lake Simcoe region is an area in south-central Ontario, Canada, centered around Lake Simcoe and its surrounding communities, ecosystems, and Indigenous territories.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f6244730408190b91939860d0cb25b completed May 2, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12625c7b808190b6a9ad8ad2f57620 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126390f0d88190b2355174dfe50a85 completed May 24, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a12641d09a881908d4fd0d679ff38b3 completed May 24, 2026, 2:36 a.m.
Created at: April 27, 2026, 9:01 a.m.