Triple
T36746045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlington (former township) |
E907766
|
entity |
| Predicate | presentDayAreaMostly |
P119114
|
FINISHED |
| Object | City of Burlington, Ontario |
—
|
NE NERFINISHED |
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: City of Burlington, Ontario | Statement: [Burlington (former township), presentDayAreaMostly, City of Burlington, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayAreaMostly Context triple: [Burlington (former township), presentDayAreaMostly, City of Burlington, Ontario]
-
A.
presentDayDistrict
Indicates that one administrative district corresponds to or is located within the boundaries of a specified present-day district.
-
B.
presentDayNear
Indicates that one entity is located a short distance from another in the present time or current context.
-
C.
presentDayCityIs
Indicates that one entity is the current, modern-day city corresponding to or located at the place represented by the other entity.
-
D.
presentDayCityRegion
Indicates that a city is located within or associated with a particular region in the present day.
-
E.
presentDayAdministrativeAreasInclude
chosen
Indicates that one present-day administrative area geographically or jurisdictionally contains another administrative area.
- 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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:12 p.m.