Triple
T25374416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Finch |
E633017
|
entity |
| Predicate | WorldCup |
P164787
|
FINISHED |
| Object | member of Australia squad that won the 2015 Cricket World Cup |
—
|
LITERAL 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: member of Australia squad that won the 2015 Cricket World Cup | Statement: [Aaron Finch, WorldCup, member of Australia squad that won the 2015 Cricket World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCup Context triple: [Aaron Finch, WorldCup, member of Australia squad that won the 2015 Cricket World Cup]
-
A.
worldCupEdition
Indicates the specific edition or instance of the FIFA World Cup tournament associated with a given event, team, or record.
-
B.
worldCupCategory
Indicates that an entity is classified under a specific category or type related to the FIFA World Cup.
-
C.
WorldCupWinner
Indicates that the subject is the team or individual that won a specified FIFA World Cup tournament.
-
D.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
E.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 21, 2026, 1:38 p.m.