Triple
T35006615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Island Adventures |
E1009825
|
entity |
| Predicate | emphasizesAttractionType |
P8077
|
FINISHED |
| Object | coastal landscapes |
—
|
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: coastal landscapes | Statement: [City of Island Adventures, emphasizesAttractionType, coastal landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesAttractionType Context triple: [City of Island Adventures, emphasizesAttractionType, coastal landscapes]
-
A.
attractionBasedOn
Indicates a relationship where one entity is drawn to or interested in another specifically because of certain attributes, qualities, or characteristics that the latter possesses.
-
B.
attractionTypeContext
Indicates the specific situational or contextual conditions under which an attraction between entities holds or is characterized.
-
C.
basedOnAttraction
Indicates that the relationship or action occurs or is formed due to some form of attraction between the involved entities.
-
D.
attractionType
chosen
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
E.
attractedFigure
Indicates that one figure is visually or emotionally drawn toward, or finds appealing, another figure.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.