Triple
T3206873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Queensferry railway station |
E67181
|
entity |
| Predicate | hasMapRepresentation |
P103
|
FINISHED |
| Object | marked on UK railway maps |
—
|
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: marked on UK railway maps | Statement: [North Queensferry railway station, hasMapRepresentation, marked on UK railway maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMapRepresentation Context triple: [North Queensferry railway station, hasMapRepresentation, marked on UK railway maps]
-
A.
hasMapReference
Indicates that an entity is associated with a specific map or map location reference.
-
B.
hasMapType
Indicates that one entity is associated with a specific type or category of map.
-
C.
hasRepresentationIn
chosen
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
D.
isRegularMap
Indicates that a mapping between two mathematical structures preserves the required regularity conditions (such as continuity, differentiability, or algebraic regularity) specified for that context.
-
E.
geographicalRepresentation
Indicates that one entity serves as a geographic depiction, model, or mapping of another entity’s location, area, or spatial characteristics.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa56c21c8190b6aa7c56cb15ad56 |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.