Triple
T2467634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan–Guangzhou High-Speed Railway |
E55289
|
entity |
| Predicate | previousTravelTime |
P22194
|
FINISHED |
| Object | over 10 hours between Wuhan and Guangzhou |
—
|
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: over 10 hours between Wuhan and Guangzhou | Statement: [Wuhan–Guangzhou High-Speed Railway, previousTravelTime, over 10 hours between Wuhan and Guangzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTravelTime Context triple: [Wuhan–Guangzhou High-Speed Railway, previousTravelTime, over 10 hours between Wuhan and Guangzhou]
-
A.
previousLocationTime
Indicates the specific time at which an entity was located at its immediately preceding location before its current one.
-
B.
travelTimeCategory
chosen
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
C.
timeTravelFrom
Indicates a relationship where an entity initiates time travel starting from a specific time or temporal location.
-
D.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
E.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.