Triple
T5036846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moffat Tunnel route |
E113445
|
entity |
| Predicate | openedForThroughServiceViaTunnel |
P15151
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [Moffat Tunnel route, openedForThroughServiceViaTunnel, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForThroughServiceViaTunnel Context triple: [Moffat Tunnel route, openedForThroughServiceViaTunnel, 1928]
-
A.
openedForThroughService
chosen
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.
-
B.
tunnelOpened
Indicates that a tunnel has been created or made accessible, establishing an open passage between two locations or systems.
-
C.
openedRouteThrough
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
D.
secondTunnelOpened
Indicates that a second tunnel has been opened and is now available for use in addition to an existing tunnel.
-
E.
openedAsBusTunnelStation
Indicates that a station was originally opened for service as part of a bus tunnel system rather than as a conventional rail or metro station.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.