Triple
T19805221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penkhull |
E475792
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hartshill |
—
|
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: Hartshill | Statement: [Penkhull, near, Hartshill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartshill Context triple: [Penkhull, near, Hartshill]
-
A.
Hartshill
chosen
Hartshill is a residential suburb and ward of Stoke-on-Trent in Staffordshire, England, known for its Victorian architecture and proximity to the city centre.
-
B.
Brierley Hill
Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
-
C.
Blidworth
Blidworth is a village and civil parish in the Newark and Sherwood district of Nottinghamshire, England, known historically for its links to the Sherwood Forest and the Robin Hood legends.
-
D.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
-
E.
Brownhills
Brownhills is a town in the West Midlands of England, historically associated with coal mining and located near Walsall and Cannock Chase.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65427546c819082c8eb0d63e3f5fe |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.