Triple
T2448884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Toronto |
E53654
|
entity |
| Predicate | townOfYorkIncorporationYear |
P3881
|
FINISHED |
| Object | 1793 |
—
|
LITERAL 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: 1793 | Statement: [Old Toronto, townOfYorkIncorporationYear, 1793]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: townOfYorkIncorporationYear Context triple: [Old Toronto, townOfYorkIncorporationYear, 1793]
-
A.
municipalityEstablished
Indicates that a municipality was officially created or founded at a specific point in time.
-
B.
incorporatedAsTownIn
chosen
Indicates that an entity was officially established and given legal status as a town within a specified jurisdiction.
-
C.
boroughOf
Indicates that one place is a borough that is administratively or geographically part of another, typically larger, municipal entity.
-
D.
countySeatSince
Indicates that one place has served as the official county seat of a county starting from a specified point in time.
-
E.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
- F. None of above.
Provenance (3 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:43 p.m.