Triple
T15775506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stranraer railway station |
E382478
|
entity |
| Predicate | regionDuringBritishRail |
P15232
|
FINISHED |
| Object | Scottish Region |
—
|
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: Scottish Region | Statement: [Stranraer railway station, regionDuringBritishRail, Scottish Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionDuringBritishRail Context triple: [Stranraer railway station, regionDuringBritishRail, Scottish Region]
-
A.
isNationalRailwaySystemOf
Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
-
B.
railwayRegion
chosen
Indicates a relationship where a railway or rail network is associated with, located in, or administered within a particular geographic region.
-
C.
railAuthority
Indicates that an entity has official regulatory or operational control over railway systems or services.
-
D.
isInNationalRailTimetable
Indicates that something is included as an entry or service in the official National Rail timetable.
-
E.
hasNationalRailCategory
Indicates that an entity is assigned a specific classification or category within a national rail system.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.