Triple
T8031477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Manchester |
E186990
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Burnage |
E446139
|
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: Burnage | Statement: [South Manchester, hasNeighbourhood, Burnage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnage Context triple: [South Manchester, hasNeighbourhood, Burnage]
-
A.
Burnage
chosen
Burnage is a suburban area of Manchester, England, known primarily as a residential district with good transport links into the city.
-
B.
Torresdale
Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
-
C.
Bauple
Bauple is a small rural town in Queensland, Australia, known as the birthplace of the macadamia nut and situated within the Fraser Coast Region.
-
D.
Biddulph
Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e812dc81908916fc7163ae344a |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.