Triple
T7495152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdeaconry of Aston |
E177104
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Aston |
E167115
|
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: Aston | Statement: [Archdeaconry of Aston, namedAfter, Aston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aston Context triple: [Archdeaconry of Aston, namedAfter, Aston]
-
A.
Aston
Aston is a masculine given name of English origin, used both as a first name and a surname.
-
B.
Aston
Aston is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
-
C.
Aston, Birmingham
chosen
Aston, Birmingham is an inner-city district of Birmingham, England, known for its rich industrial history, diverse community, and association with the Aston Villa Football Club.
-
D.
Leyland
Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
-
E.
Chandlers Ford
Chandlers Ford is a suburban town in Hampshire, England, situated between Southampton and Winchester and known primarily as a residential and commuter area.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c819f00819087fef27e4f4fdc1c |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:43 p.m.