Triple
T2655677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen gardens |
E54603
|
entity |
| Predicate | viewingStyle |
P11549
|
FINISHED |
| Object | meant to be viewed from specific vantage points |
—
|
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: meant to be viewed from specific vantage points | Statement: [Zen gardens, viewingStyle, meant to be viewed from specific vantage points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingStyle Context triple: [Zen gardens, viewingStyle, meant to be viewed from specific vantage points]
-
A.
viewType
chosen
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
-
B.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
C.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
D.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
E.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.