Triple
T26780898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec Autoroute system |
E670242
|
entity |
| Predicate | hasTypicalSpeedLimit |
P2129
|
FINISHED |
| Object | 100 km/h |
—
|
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: 100 km/h | Statement: [Quebec Autoroute system, hasTypicalSpeedLimit, 100 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSpeedLimit Context triple: [Quebec Autoroute system, hasTypicalSpeedLimit, 100 km/h]
-
A.
hasSpeedLimit
chosen
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
B.
hasSpeedLimitCharacteristic
Indicates that an entity is associated with a specific speed limit property or constraint.
-
C.
hasNoGeneralSpeedLimit
Indicates that there is no legally enforced general maximum speed limit for travel on the relevant road or in the specified area.
-
D.
hasSpeedRestriction
Indicates that an entity is subject to a specified limit on its allowable speed.
-
E.
hasSpeedLimitPolicy
Indicates that an entity is associated with a specific policy defining rules or constraints on allowable speed limits.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 4:09 a.m.