Triple
T35748314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barellan War Memorial Tennis Club |
E1033246
|
entity |
| Predicate | hometownClubOf |
P184084
|
FINISHED |
| Object | Evonne Goolagong Cawley |
—
|
NE NERFINISHED |
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: Evonne Goolagong Cawley | Statement: [Barellan War Memorial Tennis Club, hometownClubOf, Evonne Goolagong Cawley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hometownClubOf Context triple: [Barellan War Memorial Tennis Club, hometownClubOf, Evonne Goolagong Cawley]
-
A.
homeGroundOfAssociatedClub
Indicates that a particular venue or ground serves as the designated home location for an associated sports club.
-
B.
playsForClub
Indicates that a person is an active member of and participates in a particular sports club or team.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
representedClub
Indicates that an entity has acted as a representative of, or played for, a particular club or team.
-
E.
countryOfClubPlayedFor
Indicates the country in which the club that an entity played for is based.
- F. None of above. chosen
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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.