Triple
T16464345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Phuket Town |
E399888
|
entity |
| Predicate | streetArtTheme |
P15999
|
FINISHED |
| Object | local culture |
—
|
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: local culture | Statement: [Old Phuket Town, streetArtTheme, local culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetArtTheme Context triple: [Old Phuket Town, streetArtTheme, local culture]
-
A.
streetArt
Indicates that an entity creates, displays, or is associated with artistic works placed in public urban spaces, typically on streets or buildings.
-
B.
artisticTheme
chosen
Indicates the central artistic subject, concept, or motif that characterizes or is expressed by a creative work.
-
C.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
-
D.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
E.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d83687081908450657e1da6f6af |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.