Triple
T7585203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riegelmann Boardwalk |
E179591
|
entity |
| Predicate | peakVisitorSeason |
P53625
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Riegelmann Boardwalk, peakVisitorSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakVisitorSeason Context triple: [Riegelmann Boardwalk, peakVisitorSeason, summer]
-
A.
seasonalTourism
chosen
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
B.
isPeakVacationMonthIn
Indicates that a given month falls within the period of highest typical vacation activity in a specified location or context.
-
C.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
D.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
E.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f995c8a8819089817bd679640017 |
completed | March 27, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:52 p.m.