Triple
T11671200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotswold stone |
E277381
|
entity |
| Predicate | aestheticRole |
P100696
|
FINISHED |
| Object | creates unified townscape appearance |
—
|
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: creates unified townscape appearance | Statement: [Cotswold stone, aestheticRole, creates unified townscape appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aestheticRole Context triple: [Cotswold stone, aestheticRole, creates unified townscape appearance]
-
A.
displayRole
Indicates the role or position an entity holds in the context of how it is presented or shown in a display.
-
B.
colourRole
Indicates that one entity serves a specific functional or contextual role defined in terms of colour in relation to another entity.
-
C.
visibilityRole
Indicates the role or level of access an entity has in determining what information or content is visible to others.
-
D.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
-
E.
canonicalRole
Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44264c08190ba1a4a5bcdc9367b |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d8938a1f8c81908ffb049fa5fee5a7 |
completed | April 10, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:39 p.m.