Triple
T23363705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Zucchelli Station |
E593252
|
entity |
| Predicate | summerOpeningPeriod |
P93524
|
FINISHED |
| Object | approximately October to February |
—
|
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: approximately October to February | Statement: [Mario Zucchelli Station, summerOpeningPeriod, approximately October to February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summerOpeningPeriod Context triple: [Mario Zucchelli Station, summerOpeningPeriod, approximately October to February]
-
A.
summerAccess
Indicates that an entity is permitted to use or enter a resource, place, or service specifically during the summer period.
-
B.
openSeasonally
chosen
Indicates that an entity operates or is accessible only during specific seasons or times of the year.
-
C.
seasonOpeningOrClosing
Indicates that an event marks either the beginning or the end of a particular season.
-
D.
openingForSeason
Indicates the event or action of beginning a new operational or active season for something (such as a venue, activity, or service).
-
E.
summerPeak
Indicates that something reaches its highest level, intensity, or activity during the summer season.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aac4248190a4663ed12aed6856 |
completed | April 29, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:31 p.m.