Triple
T7473933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clydesdale |
E176580
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Stonehouse |
E180919
|
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: Stonehouse | Statement: [Clydesdale, contains, Stonehouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stonehouse Context triple: [Clydesdale, contains, Stonehouse]
-
A.
Stonehouse
Stonehouse is a small town in Gloucestershire, England, known historically for its role in the woollen industry and later light manufacturing, and now as a residential and commuter community near Stroud.
-
B.
Stonehouse
chosen
Stonehouse is a village in South Lanarkshire, Scotland, known for its historic conservation area and rural character.
-
C.
Elfstone
Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
-
D.
Crosshouse
Crosshouse is a village in East Ayrshire, Scotland, situated near Kilmarnock and known for hosting University Hospital Crosshouse.
-
E.
Ladywell
Ladywell is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f417fbb48190b134eaf1da1b4289 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8348561448190add358da0845fbee |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.