Triple
T1006655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Numbered Bicycle Route System |
E21728
|
entity |
| Predicate | routeNumberFormat |
P21547
|
FINISHED |
| Object | three-digit or two-digit numbers |
—
|
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: three-digit or two-digit numbers | Statement: [United States Numbered Bicycle Route System, routeNumberFormat, three-digit or two-digit numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeNumberFormat Context triple: [United States Numbered Bicycle Route System, routeNumberFormat, three-digit or two-digit numbers]
-
A.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
-
B.
hasJunctionNumbering
Indicates that a road or route is assigned a specific numbering system for its junctions or intersections.
-
C.
frontNumbering
Indicates that an entity is assigned a numbering or label that appears at the front or beginning of something (e.g., a sequence, document, or list).
-
D.
routeSymbolShape
Indicates the specific geometric form or outline used to depict a route’s symbol in a visual or cartographic representation.
-
E.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
- 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.