Triple

T27291915
Position Surface form Disambiguated ID Type / Status
Subject Loyalist Parkway E688650 entity
Predicate namedAfter P63 FINISHED
Object United Empire Loyalists
The United Empire Loyalists were American colonists who remained loyal to the British Crown during and after the American Revolution and resettled primarily in Canada, profoundly shaping its early political and cultural development.
E40831 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: United Empire Loyalists | Statement: [Loyalist Parkway, namedAfter, United Empire Loyalists]
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: United Empire Loyalists
Triple: [Loyalist Parkway, namedAfter, United Empire Loyalists]
Generated description
The United Empire Loyalists were American colonists who remained loyal to the British Crown during and after the American Revolution and resettled primarily in Canada, profoundly shaping its early political and cultural development.

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_69ef355a96308190a2bed991525fb278 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62759cb288190904e0b0531fea34d completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129ca5733c8190aeffec269245a947 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129ddafd888190a98657a4d9046d5c completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e62fd248190b264904e77be6e5e completed May 24, 2026, 6:44 a.m.
Created at: April 27, 2026, 11:16 a.m.