Triple
T8746270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk Island pine forests |
E207834
|
entity |
| Predicate | visualLandscapeRole |
P43944
|
FINISHED |
| Object | dominant element of Norfolk Island skyline |
—
|
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: dominant element of Norfolk Island skyline | Statement: [Norfolk Island pine forests, visualLandscapeRole, dominant element of Norfolk Island skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualLandscapeRole Context triple: [Norfolk Island pine forests, visualLandscapeRole, dominant element of Norfolk Island skyline]
-
A.
landscapeRole
chosen
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
-
B.
displayRole
Indicates the role or position an entity holds in the context of how it is presented or shown in a display.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
visualCenterpiece
Indicates that one entity serves as the primary visual focus or dominant visual element in relation to another entity.
-
E.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.