Triple
T2766270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wimbledon |
E61345
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Wimbledon Park |
E298059
|
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: Wimbledon Park | Statement: [Wimbledon, hasLandmark, Wimbledon Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wimbledon Park Context triple: [Wimbledon, hasLandmark, Wimbledon Park]
-
A.
Windsor Park
Windsor Park is a major football stadium in Belfast, Northern Ireland, best known as the home ground of Linfield FC and the Northern Ireland national team.
-
B.
Haworth Park
Haworth Park is a public recreational park in Bellevue, Nebraska, offering outdoor amenities such as green spaces, sports facilities, and riverfront access for community use.
-
C.
Wimbledon Common
chosen
Wimbledon Common is a large open parkland and nature reserve in southwest London, known for its woodlands, heath, and recreational spaces.
-
D.
Woking Park
Woking Park is a public recreational park in Woking, England, featuring green spaces, sports facilities, and community amenities.
-
E.
Woodhouse Park
Woodhouse Park is a residential neighbourhood within the Wythenshawe district of Manchester, England.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd5762d08190a6286994a4e5dd92 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03121c93481909bee6711fab0ee0a |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 9:57 p.m.