Triple
T30396766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | $100,000 infield |
E773239
|
entity |
| Predicate | hasMonetaryValueType |
P482
|
FINISHED |
| Object | estimated combined market value of players |
—
|
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: estimated combined market value of players | Statement: [$100,000 infield, hasMonetaryValueType, estimated combined market value of players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonetaryValueType Context triple: [$100,000 infield, hasMonetaryValueType, estimated combined market value of players]
-
A.
hasMonetaryComponent
Indicates that something includes, involves, or is associated with a monetary or financial element.
-
B.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
C.
monetaryComponent
Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
-
D.
monetaryUnitOfAccount
Indicates that something serves as the standard unit in which the value of goods, services, and financial transactions is measured and recorded.
-
E.
monetaryStatus
Indicates the financial condition or situation of an entity, such as its wealth, solvency, or level of monetary resources.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 29, 2026, 8:02 p.m.