Triple
T4342738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A9 |
E97820
|
entity |
| Predicate | hasNoGeneralSpeedLimitSection |
P36052
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [A9, hasNoGeneralSpeedLimitSection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoGeneralSpeedLimitSection Context triple: [A9, hasNoGeneralSpeedLimitSection, yes]
-
A.
hasSectionWithSpeedLimit
Indicates that an entity includes a segment or portion where a specific speed limit is in effect.
-
B.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
C.
hasUnrestrictedSpeedSection
chosen
Indicates that a route or roadway segment includes a section where no specific maximum speed limit is imposed.
-
D.
hasSpeedRestriction
Indicates that an entity is subject to a specified limit on its allowable speed.
-
E.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35188e71c8190a3e82fa8d959de94 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.