Triple
T27275692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Highway 551 |
E688184
|
entity |
| Predicate | hasMaintainerLevel |
P43816
|
FINISHED |
| Object | provincial government |
—
|
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: provincial government | Statement: [Ontario Highway 551, hasMaintainerLevel, provincial government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaintainerLevel Context triple: [Ontario Highway 551, hasMaintainerLevel, provincial government]
-
A.
hasPrimaryMaintainer
chosen
Indicates that one entity is the main person or organization responsible for maintaining or overseeing another entity.
-
B.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
C.
hasWorkingLevel
Indicates that one entity possesses or is assigned a specific operational or functional level within a defined system or context.
-
D.
canMaintain
Indicates that one entity has the ability or capacity to maintain, service, or keep another entity in proper working condition.
-
E.
hasMaintained
Indicates that an entity has continued to keep another entity in a particular state, condition, or relationship over a period of time.
- 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_69ef3558cf8881909595ef89daf6e14a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: April 27, 2026, 11:02 a.m.