Triple
T33454842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma'a Nonu |
E856743
|
entity |
| Predicate | scoredTryInMatch |
P31381
|
FINISHED |
| Object | 2015 Rugby World Cup Final vs Australia |
—
|
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: 2015 Rugby World Cup Final vs Australia | Statement: [Ma'a Nonu, scoredTryInMatch, 2015 Rugby World Cup Final vs Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredTryInMatch Context triple: [Ma'a Nonu, scoredTryInMatch, 2015 Rugby World Cup Final vs Australia]
-
A.
scoredInMatch
chosen
Indicates that an entity (typically a player or team) scored during a particular match.
-
B.
testTriesScored
Indicates that an entity scored a certain number of tries in a test (rugby) match.
-
C.
totalTriesScored
Indicates the total number of tries that have been scored in a given context or event.
-
D.
scoredTriesInTournament
Indicates that an entity scored one or more tries during a particular tournament.
-
E.
topTryScorerTries
Indicates the number of tries scored by the top try scorer in a given context or competition.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:37 a.m.