Triple
T19201141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbey Road zebra crossing, London |
E470108
|
entity |
| Predicate | hasOnlineFeature |
P95527
|
FINISHED |
| Object | Abbey Road crossing webcam |
—
|
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: Abbey Road crossing webcam | Statement: [Abbey Road zebra crossing, London, hasOnlineFeature, Abbey Road crossing webcam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineFeature Context triple: [Abbey Road zebra crossing, London, hasOnlineFeature, Abbey Road crossing webcam]
-
A.
hasOnlineProvision
chosen
Indicates that an entity offers or supports a service, feature, or function through an online or internet-based channel.
-
B.
hasOnsiteFeature
Indicates that one entity possesses or includes a particular feature that is physically present at its location or premises.
-
C.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
D.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
-
E.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f997879c8190ae7618d1ba0cede9 |
completed | April 20, 2026, 10:01 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bc158081908307dab01d9478c6 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.