Triple
T22221782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | royal tennis |
E549227
|
entity |
| Predicate | usesScoringSystemSimilarTo |
P79635
|
FINISHED |
| Object | lawn tennis |
—
|
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: lawn tennis | Statement: [royal tennis, usesScoringSystemSimilarTo, lawn tennis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScoringSystemSimilarTo Context triple: [royal tennis, usesScoringSystemSimilarTo, lawn tennis]
-
A.
hasScoreSystem
chosen
Indicates that an entity uses, is governed by, or is associated with a particular scoring or rating system.
-
B.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
-
C.
scoringType
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
D.
introducedScoringSystem
Indicates that an entity initiated or brought into use a particular scoring system.
-
E.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b90b1dc81908fee5fab8d5d14a2 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.