Triple
T16974078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo |
E411761
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Victoria Park |
E194524
|
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: Victoria Park | Statement: [Waterloo, hasPark, Victoria Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Park Context triple: [Waterloo, hasPark, Victoria Park]
-
A.
Victoria Park
Victoria Park is a public recreational park in Ilkeston, Derbyshire, offering green space, sports facilities, and leisure amenities for local residents and visitors.
-
B.
Victoria Park
Victoria Park is a prominent public park in downtown London, Ontario, known for its green spaces, community events, and seasonal festivals.
-
C.
Victoria Park
chosen
Victoria Park is a historic urban park in Kitchener, Ontario, known for its scenic lake, walking trails, and role as a central community gathering place.
-
D.
Victoria Park
Victoria Park is a public green space in Salisbury, England, known for its recreational facilities, gardens, and community events.
-
E.
Victoria Park
Victoria Park is a public riverside park in Leamington Spa, England, known for its open green spaces, sports facilities, and community events.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0af06688190a77682aa297cd27e |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.