Triple
T2467633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan–Guangzhou High-Speed Railway |
E55289
|
entity |
| Predicate | travelTimeAfterOpening |
P40025
|
FINISHED |
| Object | about 3 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: about 3 hours between Wuhan and Guangzhou | Statement: [Wuhan–Guangzhou High-Speed Railway, travelTimeAfterOpening, about 3 hours between Wuhan and Guangzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeAfterOpening Context triple: [Wuhan–Guangzhou High-Speed Railway, travelTimeAfterOpening, about 3 hours between Wuhan and Guangzhou]
-
A.
roofOpeningTime
Indicates the time at which a roof (typically movable or retractable) is opened.
-
B.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
C.
departureTime
Indicates the specific time at which an entity leaves or begins its departure from a location or state.
-
D.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
E.
rushHourServicePattern
Indicates that a service operates according to a specific pattern or schedule that applies only during rush-hour or peak travel times.
- 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_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. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.