Triple
T28671017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Open |
E725717
|
entity |
| Predicate | hostCountryTennisFederation |
P51006
|
FINISHED |
| Object | Chinese Tennis Association |
—
|
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: Chinese Tennis Association | Statement: [Wuhan Open, hostCountryTennisFederation, Chinese Tennis Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryTennisFederation Context triple: [Wuhan Open, hostCountryTennisFederation, Chinese Tennis Association]
-
A.
homeCountryTableTennisLeague
Indicates that a table tennis league is the primary or official league associated with an entity’s home country.
-
B.
countryOfTournament
Indicates the country in which a given tournament is held or officially hosted.
-
C.
sportGoverningBodyCountry
Indicates that a sports governing body is officially associated with or represents a particular country.
-
D.
organisingCountryFederation
chosen
Indicates that a country-level federation is responsible for organizing or hosting a particular event, activity, or entity.
-
E.
homeCountryFA
Indicates that a foreign agent’s primary or originating country is the specified country.
- F. None of above.
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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 5:03 a.m.