Triple
T4178851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VTA Park-and-Ride Lots |
E86543
|
entity |
| Predicate | typicalUserActivity |
P1164
|
FINISHED |
| Object | parking personal vehicles |
—
|
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: parking personal vehicles | Statement: [VTA Park-and-Ride Lots, typicalUserActivity, parking personal vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUserActivity Context triple: [VTA Park-and-Ride Lots, typicalUserActivity, parking personal vehicles]
-
A.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
D.
activityStartApprox
Indicates that the start time of an activity is known only approximately, rather than as an exact timestamp.
-
E.
activityDomain
Indicates the general field, sector, or area of activity within which an entity operates or performs its main actions.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.