Triple
T29421684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsinki City Ferry to Suomenlinna |
E746171
|
entity |
| Predicate | peakSeasonFrequency |
P58190
|
FINISHED |
| Object | every 15–20 minutes |
—
|
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: every 15–20 minutes | Statement: [Helsinki City Ferry to Suomenlinna, peakSeasonFrequency, every 15–20 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakSeasonFrequency Context triple: [Helsinki City Ferry to Suomenlinna, peakSeasonFrequency, every 15–20 minutes]
-
A.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
B.
peakSeasonReason
Indicates that there is a specific cause or justification for why a given time period is considered the peak season for something.
-
C.
hasSeasonFrequency
chosen
Indicates how often something occurs or is scheduled within a specific season.
-
D.
seasonalDemandPeak
Indicates that demand for a product, service, or resource reaches its highest level during a specific recurring season or time period.
-
E.
hasPeakVisitationSeason
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a69d4c48190bf63a61547e9f465 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:06 p.m.