Triple
T21783051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armley Mills |
E537763
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Armley |
—
|
NE NERFINISHED |
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: Armley | Statement: [Armley Mills, locatedIn, Armley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armley Context triple: [Armley Mills, locatedIn, Armley]
-
A.
Armley
chosen
Armley is a district of Leeds in West Yorkshire, England, known historically as an industrial and working-class area.
-
B.
Milnrow
Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
-
C.
Ferryhill
Ferryhill is a small town in County Durham, England, known historically for its coal mining heritage and location between Durham and Darlington.
-
D.
Honley
Honley is a large village in West Yorkshire, England, situated in the Holme Valley near Huddersfield.
-
E.
Ilkley
Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462ed0ec81908833e18c164e8b5c |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.