Triple
T33431587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs South Africa (2015 Rugby World Cup) |
E856144
|
entity |
| Predicate | SouthAfricaScore |
P176605
|
FINISHED |
| Object | 32 |
—
|
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: 32 | Statement: [Japan vs South Africa (2015 Rugby World Cup), SouthAfricaScore, 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthAfricaScore Context triple: [Japan vs South Africa (2015 Rugby World Cup), SouthAfricaScore, 32]
-
A.
AustraliaScore
Indicates that a scoring event or point total is attributed to Australia in a given context.
-
B.
NewZealandScore
Indicates that the score or points achieved are attributed to New Zealand in a particular event or context.
-
C.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
D.
fijiScore
Indicates a scoring relationship where an entity is assigned or associated with a specific score according to the Fiji scoring system or criteria.
-
E.
bestAfricaU17CupOfNationsResult
Indicates the highest placement or achievement an entity has attained in the Africa U-17 Cup of Nations 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.