Triple
T12471166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Court |
E298058
|
entity |
| Predicate | usedFor |
P98
|
FINISHED |
| Object | Wimbledon Championships |
E61345
|
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 Championships | Statement: [Centre Court, usedFor, Wimbledon Championships]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wimbledon Championships Context triple: [Centre Court, usedFor, Wimbledon Championships]
-
A.
Wimbledon
chosen
Wimbledon is a district in southwest London best known for hosting the prestigious annual Wimbledon tennis championships, the oldest tennis tournament in the world.
-
B.
Wombleton
Wombleton is a small village in North Yorkshire, England, situated within the Ryedale district.
-
C.
US Open (tennis)
The US Open (tennis) is one of the four Grand Slam tournaments, a major annual hard-court championship that attracts the world’s top professional players.
-
D.
Australian Open
The Australian Open is one of tennis's four Grand Slam tournaments, held annually in Melbourne and known for its hard courts and intense summer conditions.
-
E.
U.S. Open
The U.S. Open is one of golf’s four major championships, organized annually by the United States Golf Association and known for its challenging course setups and elite international field.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dba7f6c8190b272f649e0777362 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66859c0448190980c5e490cc41118 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:56 p.m.