Triple
T5046028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom and France |
E113665
|
entity |
| Predicate | ChannelTunnelType |
P29550
|
FINISHED |
| Object | rail tunnel |
—
|
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: rail tunnel | Statement: [United Kingdom and France, ChannelTunnelType, rail tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChannelTunnelType Context triple: [United Kingdom and France, ChannelTunnelType, rail tunnel]
-
A.
tunnelType
chosen
Indicates the specific kind or classification of a tunnel associated with an entity.
-
B.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
C.
virtualChannel
Indicates that one entity is linked to another through a non-physical, software-defined communication channel used for transmitting data or signals.
-
D.
channels
Indicates that one entity serves as a medium, route, or conduit through which another entity is directed, transmitted, or delivered.
-
E.
channelNumber
Indicates the specific numeric identifier assigned to a channel within a system or medium.
- 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.