Triple
T36508658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serge Blanco |
E899838
|
entity |
| Predicate | scoredTryIn |
P185786
|
FINISHED |
| Object | 1987 Rugby World Cup semi-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: 1987 Rugby World Cup semi-final vs Australia | Statement: [Serge Blanco, scoredTryIn, 1987 Rugby World Cup semi-final vs Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredTryIn Context triple: [Serge Blanco, scoredTryIn, 1987 Rugby World Cup semi-final vs Australia]
-
A.
testTriesScored
Indicates that an entity scored a certain number of tries in a test (rugby) match.
-
B.
topTryScorerTries
Indicates the number of tries scored by the top try scorer in a given context or competition.
-
C.
totalTriesScored
Indicates the total number of tries that have been scored in a given context or event.
-
D.
firstTryScorer
Indicates that an entity is the one who scored on their first attempt or try in a given context.
-
E.
topTryScorer
Indicates that the subject is the player who scored the highest number of tries in a given competition, season, or context.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.