Triple
T11639530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Winter Train |
E276622
|
entity |
| Predicate | typicalOperationDays |
P10069
|
FINISHED |
| Object | weekends in winter |
—
|
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: weekends in winter | Statement: [Aurora Winter Train, typicalOperationDays, weekends in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOperationDays Context triple: [Aurora Winter Train, typicalOperationDays, weekends in winter]
-
A.
daysOfOperation
chosen
Indicates the specific days on which an entity (such as a service, facility, or operation) is active or functioning.
-
B.
hasPublicDays
Indicates that an entity has specific days designated as open or accessible to the public.
-
C.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
-
D.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
E.
serviceDays
Indicates the specific days on which a service is provided or operates.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.