Triple
T23816738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HangTime |
E589114
|
entity |
| Predicate | themeAreaType |
P28568
|
FINISHED |
| Object | boardwalk-themed area |
—
|
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: boardwalk-themed area | Statement: [HangTime, themeAreaType, boardwalk-themed area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeAreaType Context triple: [HangTime, themeAreaType, boardwalk-themed area]
-
A.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
B.
thematicArea
chosen
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
-
C.
featuredArea
Indicates that an area or section is highlighted or given special prominence within a larger context or layout.
-
D.
designedArea
Indicates that an area has been intentionally planned, shaped, or configured according to a specific design or purpose.
-
E.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ab4e8881908f2711e9d62cad98 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:58 p.m.