Triple
T11409722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gogar |
E270336
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | South Gyle |
E545867
|
NE 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: South Gyle | Statement: [Gogar, locatedNear, South Gyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Gyle Context triple: [Gogar, locatedNear, South Gyle]
-
A.
Bruntsfield Place
Bruntsfield Place is a main thoroughfare and shopping street in the Bruntsfield area of Edinburgh, Scotland, lined with tenements, cafes, and local businesses.
-
B.
Eskdale Green
Eskdale Green is a small village in the Eskdale valley of England’s Lake District, known for its scenic rural setting and proximity to popular walking and heritage railway routes.
-
C.
Hillhead
Hillhead is a vibrant district in Glasgow’s West End known for its proximity to the University of Glasgow, bustling Byres Road, and a mix of shops, cafes, and cultural venues.
-
D.
Kelvinside
Kelvinside is an affluent residential district in Glasgow, Scotland, known for its Victorian architecture, leafy streets, and proximity to the River Kelvin.
-
E.
Sighthill
chosen
Sighthill is a district in Edinburgh, Scotland, known for its residential areas, educational institutions, and urban regeneration projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b845ed488190b7680ddf09177ea0 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.