Triple
T8401662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrecclesham |
E198385
|
entity |
| Predicate | hasLocalGovernmentDistrict |
P962
|
FINISHED |
| Object | Waverley |
E147046
|
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: Waverley | Statement: [Wrecclesham, hasLocalGovernmentDistrict, Waverley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waverley Context triple: [Wrecclesham, hasLocalGovernmentDistrict, Waverley]
-
A.
Waverley
chosen
Waverley is a local government district and borough in Surrey, England, known for its market towns, rural landscapes, and part of the Surrey Hills Area of Outstanding Natural Beauty.
-
B.
Waverley
Waverley is a commuter rail station in Belmont, Massachusetts, served by the MBTA’s Fitchburg Line.
-
C.
Waverley
Waverley is an 1814 historical novel by Sir Walter Scott, often regarded as one of the first major works of historical fiction in English literature.
-
D.
Waverley
Waverley is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known historically for its gold mining and lakeside setting.
-
E.
Waverley
Waverley is a coastal suburb in Sydney’s Eastern Suburbs, noted for its historic cemetery, proximity to Bondi Beach, and scenic ocean views.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824da3148190bfa3a1abfdfa02de |
completed | March 31, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde8789a608190a3503f544a19d204 |
completed | April 2, 2026, 3:54 a.m. |
Created at: March 30, 2026, 6:04 p.m.