Triple
T30612961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newbury Park tube station |
E779230
|
entity |
| Predicate | hasShelterDesign |
P1529
|
FINISHED |
| Object | streamline moderne style bus canopy |
—
|
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: streamline moderne style bus canopy | Statement: [Newbury Park tube station, hasShelterDesign, streamline moderne style bus canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelterDesign Context triple: [Newbury Park tube station, hasShelterDesign, streamline moderne style bus canopy]
-
A.
hasShelters
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
B.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
C.
hasDomeDesign
Indicates that one entity features or incorporates the dome design of another entity.
-
D.
shelterType
Indicates the kind or category of shelter associated with an entity (e.g., tent, house, bunker).
-
E.
isSheltered
Indicates that one entity provides or serves as protective cover or refuge for another entity.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 29, 2026, 8:26 p.m.