Triple
T25207048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Faulkner took 3 wickets for 36 runs |
E631280
|
entity |
| Predicate | hostCountryOfTournament |
P69452
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [James Faulkner took 3 wickets for 36 runs, hostCountryOfTournament, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryOfTournament Context triple: [James Faulkner took 3 wickets for 36 runs, hostCountryOfTournament, Australia]
-
A.
countryOfTournament
chosen
Indicates the country in which a given tournament is held or officially hosted.
-
B.
lastHostCountry
Indicates the country that most recently hosted a particular event, activity, or entity.
-
C.
countryOfVenue
Indicates the country in which the referenced venue is geographically located.
-
D.
hostCountryOfNotableMatch
Indicates that a country served as the host location for a particular notable match or game.
-
E.
mainHostCountry
Indicates the country that primarily serves as the host location for the associated entity or event.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 21, 2026, 12:52 p.m.