Triple
T2448885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Toronto |
E53654
|
entity |
| Predicate | cityIncorporationYear |
P23872
|
FINISHED |
| Object | 1834 |
—
|
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: 1834 | Statement: [Old Toronto, cityIncorporationYear, 1834]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityIncorporationYear Context triple: [Old Toronto, cityIncorporationYear, 1834]
-
A.
cityFoundedOn
Indicates that a city was established or officially founded on a specific date or point in time.
-
B.
stateFoundedIn
Indicates that a particular state was established or came into existence in a specified year or time period.
-
C.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
D.
municipalityEstablished
chosen
Indicates that a municipality was officially created or founded at a specific point in time.
-
E.
capitalCityEstablished
Indicates that a particular city was officially designated or founded as the capital of a political or administrative entity.
- 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.