Triple
T9256787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing–Shanghai High-Speed Railway |
E222463
|
entity |
| Predicate | openedForPassengerServiceOn |
P77038
|
FINISHED |
| Object | 2011-06-30 |
—
|
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: 2011-06-30 | Statement: [Beijing–Shanghai High-Speed Railway, openedForPassengerServiceOn, 2011-06-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForPassengerServiceOn Context triple: [Beijing–Shanghai High-Speed Railway, openedForPassengerServiceOn, 2011-06-30]
-
A.
closedForPassengers
Indicates that a transportation facility or vehicle is not available for use by passengers.
-
B.
openedToPassengerTraffic
chosen
Indicates that a transportation facility or route began operating and accepting passengers for regular use.
-
C.
openedAsMetraService
Indicates that a transportation facility or line began operating specifically as part of the Metra commuter rail service.
-
D.
openedForThroughService
Indicates that an entity has been made accessible or available specifically for use via a through-service connection or route, rather than as a standalone endpoint.
-
E.
newPassengerTerminalOpened
Indicates that a new passenger terminal has begun operations and is now open for use.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b4e2048190af0d65b904677c36 |
completed | April 1, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.