Triple
T21789798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caltrain stations |
E537938
|
entity |
| Predicate | offPeakUse |
P118827
|
FINISHED |
| Object | regional travel |
—
|
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: regional travel | Statement: [Caltrain stations, offPeakUse, regional travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offPeakUse Context triple: [Caltrain stations, offPeakUse, regional travel]
-
A.
hasOffPeakUsage
chosen
Indicates that an entity exhibits or is associated with usage occurring during designated off-peak times rather than standard peak periods.
-
B.
offPeakServicePattern
Indicates the service pattern or schedule that applies during off-peak (non-rush-hour) times.
-
C.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
-
D.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
E.
isOnPeak
Indicates that one entity is located at, or positioned on, the highest point or summit of another entity.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621ed2b481909e3df17aee9cd8f7 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.