Triple
T25207037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Faulkner took 3 wickets for 36 runs |
E631280
|
entity |
| Predicate | economyRate |
P159418
|
FINISHED |
| Object | 4.00 |
—
|
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: 4.00 | Statement: [James Faulkner took 3 wickets for 36 runs, economyRate, 4.00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economyRate Context triple: [James Faulkner took 3 wickets for 36 runs, economyRate, 4.00]
-
A.
typicalRate
Indicates the standard or commonly expected rate at which something occurs, is charged, or is applied in a given context.
-
B.
reducedCommissionRate
Indicates that the commission rate applied to a transaction or agreement is lower than the standard or previously agreed rate.
-
C.
baseRate
Indicates the fundamental or standard rate at which something occurs or is charged, serving as a baseline before adjustments or modifiers are applied.
-
D.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
E.
isLowCost
Indicates that something requires relatively little expenditure of money or resources compared to alternatives.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 12:52 p.m.