Triple
T36377504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wimbledon gentlemen’s singles 1885 |
E895942
|
entity |
| Predicate | countryRepresentedByChampion |
P104081
|
FINISHED |
| Object | United Kingdom |
E732
|
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: United Kingdom | Statement: [Wimbledon gentlemen’s singles 1885, countryRepresentedByChampion, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryRepresentedByChampion Context triple: [Wimbledon gentlemen’s singles 1885, countryRepresentedByChampion, United Kingdom]
-
A.
championNationality
chosen
Indicates the country or nationality that a champion represents or is associated with.
-
B.
pairsChampionCountry
Indicates the country that the pairs champion represents or is associated with.
-
C.
countryOfFirstChampion
Indicates the country from which the very first champion (winner) of a given competition or title originated.
-
D.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
-
E.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
- F. None of above.
Provenance (4 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0302d9d2d88190b20429530775b035 |
completed | May 12, 2026, 10:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39b418424c81908ffacbb031a7681f |
completed | June 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_6a0302289128819085428f3d544c2fb9 |
completed | May 12, 2026, 10:34 a.m. |
Created at: May 3, 2026, 4:10 p.m.