Triple
T26768724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clergy Reserves in Upper Canada |
E675019
|
entity |
| Predicate | areaAllocated |
P141447
|
FINISHED |
| Object | one-seventh of all surveyed Crown lands |
—
|
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: one-seventh of all surveyed Crown lands | Statement: [Clergy Reserves in Upper Canada, areaAllocated, one-seventh of all surveyed Crown lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaAllocated Context triple: [Clergy Reserves in Upper Canada, areaAllocated, one-seventh of all surveyed Crown lands]
-
A.
arenaUsed
Indicates that a particular arena or venue is utilized or has been employed for a specific event, activity, or purpose.
-
B.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
C.
hasAllotmentArea
chosen
Indicates that an entity is associated with a specific area of land that has been formally allotted or assigned to it.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6192af84481908f00b324e81db779 |
completed | May 2, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4:01 a.m.