Triple
T187892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Builder |
E4022
|
entity |
| Predicate | dailyFrequency |
P85
|
FINISHED |
| Object | once per day in each direction |
—
|
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: once per day in each direction | Statement: [Empire Builder, dailyFrequency, once per day in each direction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dailyFrequency Context triple: [Empire Builder, dailyFrequency, once per day in each direction]
-
A.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
B.
frequency
chosen
Indicates how often an event, action, or relationship occurs within a given period or context.
-
C.
observesDay
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
-
D.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
E.
hasWeeklyHolyDay
Indicates that an entity observes or is associated with a recurring holy or sacred day that occurs weekly.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594940e48190a3d8efbce46241c3 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25672332081909386f35f3ca15dd2 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.