Triple
T2378963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1987 Rugby World Cup |
E46265
|
entity |
| Predicate | topPointScorerPoints |
P18045
|
FINISHED |
| Object | 126 |
—
|
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: 126 | Statement: [1987 Rugby World Cup, topPointScorerPoints, 126]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topPointScorerPoints Context triple: [1987 Rugby World Cup, topPointScorerPoints, 126]
-
A.
topScorerPoints
chosen
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
B.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
C.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
D.
topTryScorer
Indicates that the subject is the player who scored the highest number of tries in a given competition, season, or context.
-
E.
topTryScorerTeam
Indicates that a team is the one for which a given player is the top try scorer.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7974aa481908799ef2f854d1c9d |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.