Triple
T1526454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 75 near Lake City |
E32345
|
entity |
| Predicate | typicalSpeedLimit |
P2129
|
FINISHED |
| Object | 70 mph |
—
|
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: 70 mph | Statement: [Interstate 75 near Lake City, typicalSpeedLimit, 70 mph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeedLimit Context triple: [Interstate 75 near Lake City, typicalSpeedLimit, 70 mph]
-
A.
hasSpeedLimit
chosen
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
B.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
-
C.
roadTrafficRuleJurisdiction
Indicates the jurisdiction or authority under whose road traffic rules a given situation, entity, or action is governed.
-
D.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
E.
roadTraffic
Indicates the presence, flow, or conditions of vehicles and movement along roads or streets.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.