Triple
T5046027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom and France |
E113665
|
entity |
| Predicate | ChannelTunnelOpenedInYear |
P57522
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [United Kingdom and France, ChannelTunnelOpenedInYear, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChannelTunnelOpenedInYear Context triple: [United Kingdom and France, ChannelTunnelOpenedInYear, 1994]
-
A.
openedToTrafficInYear
Indicates the year in which something, typically a transportation facility or route, was first officially opened for public traffic use.
-
B.
roadTunnelOpeningYear
Indicates the calendar year in which a road tunnel was officially opened for use.
-
C.
railTunnelOpeningYear
chosen
Indicates the calendar year in which a rail tunnel was officially opened for use.
-
D.
tunnelOpened
Indicates that a tunnel has been created or made accessible, establishing an open passage between two locations or systems.
-
E.
landingYear
Indicates the year in which a landing event (such as an arrival or touchdown) took place.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fe99688190961708f5d8eb6bff |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.