Triple
T1006681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Numbered Bicycle Route System |
E21728
|
entity |
| Predicate | eastWestRoutes |
P21549
|
FINISHED |
| Object | even-numbered routes |
—
|
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: even-numbered routes | Statement: [United States Numbered Bicycle Route System, eastWestRoutes, even-numbered routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eastWestRoutes Context triple: [United States Numbered Bicycle Route System, eastWestRoutes, even-numbered routes]
-
A.
roadServed
Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
-
B.
eastsideTrailStatus
Indicates the current condition or accessibility state of the Eastside Trail.
-
C.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
D.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
E.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51434f081909b301ad1c151af03 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b327cac881908d9297bf6d5cc844 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.