Triple
T29866065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eje Vial system |
E758459
|
entity |
| Predicate | typicalSpeedEnvironment |
P204011
|
FINISHED |
| Object | urban arterial speeds |
—
|
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: urban arterial speeds | Statement: [Eje Vial system, typicalSpeedEnvironment, urban arterial speeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeedEnvironment Context triple: [Eje Vial system, typicalSpeedEnvironment, urban arterial speeds]
-
A.
typicalSpeedup
Indicates the usual or expected performance improvement (e.g., reduction in time or increase in speed) achieved when applying one method, system, or configuration relative to another.
-
B.
speedDescribedAs
Indicates that one entity characterizes or labels the speed of another entity using a particular description or term.
-
C.
baseSpeed
Indicates the default or starting rate at which an entity moves or operates before any modifications or adjustments.
-
D.
typicalSpeedLimitComparedToMainline
Indicates how the typical speed limit on one road segment compares to that of the mainline or primary roadway.
-
E.
speedDependsOn
Indicates that the speed of one entity is determined or influenced by another specified factor or entity.
- F. None of above. chosen
Provenance (4 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a030c7d03308190a102689db1e8b657 |
completed | May 12, 2026, 11:18 a.m. |
| PD | Predicate disambiguation | batch_6a030a57b16c81909191270f64a77fcf |
completed | May 12, 2026, 11:09 a.m. |
| PDg | Predicate description generation | batch_6a030c7c58148190bf4bc76e6c5ee8f1 |
completed | May 12, 2026, 11:18 a.m. |
Created at: April 29, 2026, 5:51 p.m.