Triple
T24534191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronation Street exterior set |
E606898
|
entity |
| Predicate | hasSetDressing |
P156635
|
FINISHED |
| Object | period-appropriate shopfronts and signage |
—
|
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: period-appropriate shopfronts and signage | Statement: [Coronation Street exterior set, hasSetDressing, period-appropriate shopfronts and signage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSetDressing Context triple: [Coronation Street exterior set, hasSetDressing, period-appropriate shopfronts and signage]
-
A.
usesDressing
Indicates that one entity applies or employs a particular dressing (such as a sauce, covering, or treatment) in relation to another entity or context.
-
B.
hasApron
Indicates that one entity possesses or is wearing an apron in relation to another context or entity.
-
C.
hasPlaceSetting
Indicates that a dining-related entity is associated with a specific arrangement of tableware and utensils prepared for an individual at a table.
-
D.
hasGravy
Indicates that one entity is accompanied by, covered with, or served with gravy in relation to another entity or context.
-
E.
hasDressCode
Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.