Triple

T27712137

Position	Surface form	Disambiguated ID	Type / Status
Subject	1962 Canadian federal election	`E698717`	entity
Predicate	leader3Riding	`P168089`	FINISHED
Object	Regina City Regina City was a federal electoral district in Saskatchewan, Canada, represented in the House of Commons during the mid-20th century.	`E1785699`	NE FINISHED

How this triple was built (3 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: Regina City | Statement: [1962 Canadian federal election, leader3Riding, Regina City]

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: Regina City
Triple: [1962 Canadian federal election, leader3Riding, Regina City]

Generated description

Regina City was a federal electoral district in Saskatchewan, Canada, represented in the House of Commons during the mid-20th century.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: leader3Riding
Context triple: [1962 Canadian federal election, leader3Riding, Regina City]

A. leader2Riding
Indicates that the second leader is engaged in the act of riding something or someone.
B. leader1Riding
Indicates that the first leader is mounted on and riding another entity (such as an animal or vehicle).
C. riderType
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
D. leader2
Indicates that one entity serves as a leader, chief, or primary authority figure in relation to another entity.
E. primaryRiders
Indicates that the referenced entities are the main or principal riders associated with a particular vehicle, trip, or ride-related event.
F. None of above. chosen

Provenance (7 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_69ef590f655c81909f93893b3b3219b2`	completed	April 27, 2026, 12:39 p.m.
NER	Named-entity recognition	`batch_69f673633d288190b52ceb9f8a057c44`	completed	May 2, 2026, 9:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12e4615da081908cd4c790e4363e61`	completed	May 24, 2026, 11:43 a.m.
NEDg	Description generation	`batch_6a12e51506ac8190bc8cac0bad87dad5`	completed	May 24, 2026, 11:46 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12e5e1eafc8190912e291b91690548`	completed	May 24, 2026, 11:49 a.m.
PD	Predicate disambiguation	`batch_69f66ec3d3d48190ab2f2b71939e572e`	completed	May 2, 2026, 9:38 p.m.
PDg	Predicate description generation	`batch_69f67256d064819094be04fc1bbbc635`	completed	May 2, 2026, 9:53 p.m.

Created at: April 27, 2026, 3:02 p.m.