Triple
T4209913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheppard Avenue |
E93874
|
entity |
| Predicate | hasNeighbourhoodAlong |
P16140
|
FINISHED |
| Object | Malvern |
E172651
|
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: Malvern | Statement: [Sheppard Avenue, hasNeighbourhoodAlong, Malvern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvern Context triple: [Sheppard Avenue, hasNeighbourhoodAlong, Malvern]
-
A.
Malvern
chosen
Malvern is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and suburban character.
-
B.
Malvern
Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
-
C.
Malvern
Malvern is a borough in Chester County, Pennsylvania, known as a residential suburb of Philadelphia with regional rail access and a historic downtown.
-
D.
Wallingford
Wallingford is a historic market town on the River Thames in South Oxfordshire, England, known for its medieval castle remains and traditional town centre.
-
E.
Wallingford
Wallingford is a town in south-central Connecticut known for its historic downtown, residential neighborhoods, and mix of light industry and commerce.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34810de648190b09c5e705cf0a74e |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962ec4f8819085bef81ce71aa132 |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:03 p.m.