Triple
T15642642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shifen Waterfall |
E376103
|
entity |
| Predicate | photographicReputation |
P9792
|
FINISHED |
| Object | one of the most photographed waterfalls in Taiwan |
—
|
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: one of the most photographed waterfalls in Taiwan | Statement: [Shifen Waterfall, photographicReputation, one of the most photographed waterfalls in Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographicReputation Context triple: [Shifen Waterfall, photographicReputation, one of the most photographed waterfalls in Taiwan]
-
A.
hasPhotographicSpecialty
Indicates that an entity possesses a specific area of expertise or focus within the field of photography.
-
B.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
C.
isPhotographicSubject
chosen
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
D.
notablePhotographer
Indicates that the subject is a photographer who is recognized as notable or significant in some context.
-
E.
photographer
Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.