Triple
T4573717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaminda Vaas |
E123093
|
entity |
| Predicate | testRunsScored |
P57818
|
FINISHED |
| Object | 3089 |
—
|
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: 3089 | Statement: [Chaminda Vaas, testRunsScored, 3089]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testRunsScored Context triple: [Chaminda Vaas, testRunsScored, 3089]
-
A.
testTriesScored
Indicates that an entity scored a certain number of tries in a test (rugby) match.
-
B.
testRuns
Indicates that an entity executes or performs a test or series of tests on another entity or system.
-
C.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
D.
scoringRunnersCount
Indicates the number of runners who successfully score (e.g., reach home plate or equivalent scoring position) as a result of a particular play or action.
-
E.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.