Triple
T2302606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ha'penny Bridge |
E51765
|
entity |
| Predicate | hasTrafficRestriction |
P29930
|
FINISHED |
| Object | pedestrians only |
—
|
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: pedestrians only | Statement: [Ha'penny Bridge, hasTrafficRestriction, pedestrians only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrafficRestriction Context triple: [Ha'penny Bridge, hasTrafficRestriction, pedestrians only]
-
A.
trafficRestriction
chosen
Indicates a limitation or prohibition on the movement or flow of traffic between entities, such as vehicles, routes, or areas.
-
B.
hasTrafficControl
Indicates that some form of traffic management or regulation mechanism is present or applied to a given route, intersection, or transportation element.
-
C.
transportRestriction
Indicates that there are limitations, prohibitions, or special conditions governing the use of a particular mode or means of transportation between entities.
-
D.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
E.
hasTruckTraffic
Indicates that there is truck-related vehicular movement or flow occurring on or through a specified location or route.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.