Triple
T28073600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Indian Premier League |
E709472
|
entity |
| Predicate | mostRunsTotal |
P86404
|
FINISHED |
| Object | 616 |
—
|
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: 616 | Statement: [2008 Indian Premier League, mostRunsTotal, 616]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostRunsTotal Context triple: [2008 Indian Premier League, mostRunsTotal, 616]
-
A.
mostRuns
Indicates that one entity has scored a greater number of runs than all comparable entities in a given context or set.
-
B.
mostRunsAward
Indicates that an entity has received an award for scoring the highest number of runs in a given competition or season.
-
C.
mostConsecutiveWinsCount
Indicates the highest number of wins achieved in a row within a given sequence or context.
-
D.
runsTotal
chosen
Indicates the total number of runs accumulated or recorded for an entity over a specified period or context.
-
E.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6403e306081909e463520c0ae7437 |
completed | May 2, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f637120c008190b2b5adf46f022e48 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:47 p.m.