Triple
T4913622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth Way |
E110293
|
entity |
| Predicate | speedLimitInKilometresPerHour |
P2129
|
FINISHED |
| Object | 100 |
—
|
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 | Statement: [Queen Elizabeth Way, speedLimitInKilometresPerHour, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speedLimitInKilometresPerHour Context triple: [Queen Elizabeth Way, speedLimitInKilometresPerHour, 100]
-
A.
speedLimitCharacteristic
Indicates that an entity has a specific speed limit property or constraint associated with it.
-
B.
hasSpeedLimit
chosen
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
C.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
-
D.
regulatesSpeedLimitBy
Indicates that one entity determines, controls, or sets the speed limit applicable to another entity or context.
-
E.
hasSpeedRestriction
Indicates that an entity is subject to a specified limit on its allowable speed.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9dc41481908c0c398852e6819c |
completed | March 20, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.