Triple
T33347801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Savea |
E853846
|
entity |
| Predicate | scoredTriesInTournament |
P176526
|
FINISHED |
| Object | 2015 Rugby World Cup |
—
|
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: 2015 Rugby World Cup | Statement: [Julian Savea, scoredTriesInTournament, 2015 Rugby World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredTriesInTournament Context triple: [Julian Savea, scoredTriesInTournament, 2015 Rugby World Cup]
-
A.
scoredInTournament
Indicates that an entity achieved a score or points during a particular tournament.
-
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.
topTryScorerTries
Indicates the number of tries scored by the top try scorer in a given context or competition.
-
E.
timeInTournament
Indicates the duration or specific time period that an entity spends participating in a particular tournament.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:34 a.m.