Triple
T28381710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transrapid |
E718905
|
entity |
| Predicate | travelTimeOnShanghaiRoute |
P167353
|
FINISHED |
| Object | about 8 minutes |
—
|
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 8 minutes | Statement: [Transrapid, travelTimeOnShanghaiRoute, about 8 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeOnShanghaiRoute Context triple: [Transrapid, travelTimeOnShanghaiRoute, about 8 minutes]
-
A.
previousTravelTimeOnRoute
Indicates the duration of travel that occurred earlier on the same route before the current segment or time period.
-
B.
showRouteDuration
Indicates that an entity displays or provides the duration required to traverse a specific route.
-
C.
transportProject
Indicates a project whose primary purpose is to plan, build, improve, or manage transportation systems, services, or infrastructure.
-
D.
drivingTimeFromNewYorkCity
Indicates the amount of time it takes to drive from New York City to a specified location.
-
E.
bestTravelTime
Indicates the most optimal duration or period required to travel between specified locations under given conditions.
- F. None of above. chosen
Provenance (4 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 1:07 a.m.