Triple
T4044103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tynemouth Metro station |
E84021
|
entity |
| Predicate | convertedToMetroUse |
P35125
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Tynemouth Metro station, convertedToMetroUse, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToMetroUse Context triple: [Tynemouth Metro station, convertedToMetroUse, 1980]
-
A.
convertedToRapidTransit
chosen
Indicates that something previously using another mode or form of transportation has been transformed or upgraded into a rapid transit system.
-
B.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
C.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
D.
hasMetroStations
Indicates that a place or area is served by one or more metro (subway) stations.
-
E.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5d759c8190b61fbbe94ffe2bf7 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.