Triple
T2499587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wythenshawe |
E52431
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Baguley |
E35768
|
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: Baguley | Statement: [Wythenshawe, hasNeighbourhood, Baguley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baguley Context triple: [Wythenshawe, hasNeighbourhood, Baguley]
-
A.
Baguley
chosen
Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
-
B.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
-
C.
Buckland
Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
-
D.
Buckland
Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
-
E.
Ubley
Ubley is a small rural village in Somerset, England, situated near the northern edge of the Mendip Hills.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1afd86c81909181c4b45d4f8bc5 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9ed13c81909856db636bfb2e9e |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.