Triple
T8532534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanning–Guangzhou High-Speed Railway |
E201989
|
entity |
| Predicate | previousTypicalTravelTime |
P56944
|
FINISHED |
| Object | over 10 hours between Nanning and Guangzhou by conventional rail |
—
|
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 Nanning and Guangzhou by conventional rail | Statement: [Nanning–Guangzhou High-Speed Railway, previousTypicalTravelTime, over 10 hours between Nanning and Guangzhou by conventional rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTypicalTravelTime Context triple: [Nanning–Guangzhou High-Speed Railway, previousTypicalTravelTime, over 10 hours between Nanning and Guangzhou by conventional rail]
-
A.
previousTravelTimeOnRoute
chosen
Indicates the duration of travel that occurred earlier on the same route before the current segment or time period.
-
B.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
C.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
D.
previousTransport
Indicates that one entity served as the immediately preceding mode or instance of transport for another entity in a sequence of movements or journeys.
-
E.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.