Triple
T8978223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airdrie |
E214450
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Bellshill |
E103901
|
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: Bellshill | Statement: [Airdrie, hasNearbyTown, Bellshill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellshill Context triple: [Airdrie, hasNearbyTown, Bellshill]
-
A.
Bellshill
chosen
Bellshill is a town in North Lanarkshire, Scotland, known as the birthplace of singer Sheena Easton.
-
B.
Bonnington
Bonnington is a district of Edinburgh, Scotland, situated along the Water of Leith and known for its mix of historic industrial buildings and residential areas.
-
C.
Corkerhill
Corkerhill is a suburban railway station in Glasgow, Scotland, serving the surrounding residential area on the Paisley Canal line.
-
D.
Biggar
Biggar is a small historic market town in Scotland known for its traditional high street, museums, and annual cultural events.
-
E.
Biggar
Biggar is a small coastal settlement on Walney Island in Cumbria, England, known for its traditional village character and proximity to the Irish Sea.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96e7eb48190a3df410b1544b997 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.