Triple
T5704715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Orchard |
E125755
|
entity |
| Predicate | hasAestheticRole |
P64980
|
FINISHED |
| Object | scenic landscape element |
—
|
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: scenic landscape element | Statement: [The Orchard, hasAestheticRole, scenic landscape element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAestheticRole Context triple: [The Orchard, hasAestheticRole, scenic landscape element]
-
A.
hasAria
Indicates that one entity possesses, contains, or is associated with an aria (a specific vocal piece or melodic section).
-
B.
hasRoleCharacteristic
chosen
Indicates that an entity possesses a specific characteristic, quality, or attribute associated with a particular role.
-
C.
hasAuxiliaryRole
Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
-
D.
colourRole
Indicates that one entity serves a specific functional or contextual role defined in terms of colour in relation to another entity.
-
E.
hasCulturalRole
Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024585d14819098ec34fd5a858836 |
completed | March 22, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.