Triple
T8102345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Going-to-the-Sun Road |
E189144
|
entity |
| Predicate | typicallyOpenUntil |
P33870
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Going-to-the-Sun Road, typicallyOpenUntil, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyOpenUntil Context triple: [Going-to-the-Sun Road, typicallyOpenUntil, October]
-
A.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
B.
closingTime
chosen
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
C.
openedAt
Indicates that an entity began operating, became accessible, or was first made available at a specific time or date.
-
D.
reopeningDate
Indicates the date on which something that was previously closed is opened again for use or access.
-
E.
openingHoursCharacteristic
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42bd91408190880293dfdce8bef7 |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:31 p.m.