Triple
T2590454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napa Valley Wine Train |
E58107
|
entity |
| Predicate | typicalJourneyDuration |
P29135
|
FINISHED |
| Object | about 3 hours |
—
|
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: about 3 hours | Statement: [Napa Valley Wine Train, typicalJourneyDuration, about 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalJourneyDuration Context triple: [Napa Valley Wine Train, typicalJourneyDuration, about 3 hours]
-
A.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
voyageDuration
chosen
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
C.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
D.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
E.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd40075f08190b760cb41c1417169 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.