Triple
T35288348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disneyland Resort tram route |
E1019151
|
entity |
| Predicate | timeToTraverse |
P103916
|
FINISHED |
| Object | a few minutes under normal operation |
—
|
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: a few minutes under normal operation | Statement: [Disneyland Resort tram route, timeToTraverse, a few minutes under normal operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToTraverse Context triple: [Disneyland Resort tram route, timeToTraverse, a few minutes under normal operation]
-
A.
timeToTravelEndToEnd
chosen
Indicates the duration required to traverse from the starting point to the ending point of something (e.g., a route, path, or system) without interruption.
-
B.
timeToReachTown
Indicates the amount of time required for an entity to travel to and arrive at a specified town.
-
C.
approximateCrossingTime
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
D.
timeOfJourneyDescribed
Indicates that the predicate specifies the particular time period or duration during which the described journey takes place.
-
E.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fe5af80819097ed9c015c3864fb |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.