Triple
T21414876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drem railway station |
E528272
|
entity |
| Predicate | hasJunctionRole |
P61974
|
FINISHED |
| Object | former junction for lines to Gullane |
—
|
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: former junction for lines to Gullane | Statement: [Drem railway station, hasJunctionRole, former junction for lines to Gullane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJunctionRole Context triple: [Drem railway station, hasJunctionRole, former junction for lines to Gullane]
-
A.
hasJunctionType
Indicates the specific kind or classification of a junction associated with an entity.
-
B.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
C.
hasJunctionIn
Indicates that one entity contains or includes a junction located within the spatial or structural extent of another entity.
-
D.
hasJunctionFunction
chosen
Indicates that one entity serves as a junction or connecting function for another entity within a system or structure.
-
E.
hasJunctionCount
Indicates the number of junctions associated with or contained in a given 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d16bfc8190a1c08dd9d0c80e02 |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:45 p.m.