Triple
T24270052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Value |
E605251
|
entity |
| Predicate | hasPriceReturnVersion |
P105538
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [S&P 500 Value, hasPriceReturnVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPriceReturnVersion Context triple: [S&P 500 Value, hasPriceReturnVersion, true]
-
A.
hasPriceUnit
Indicates that a price value is expressed in a specific unit of currency or measurement.
-
B.
hasPriceReturnIndex
chosen
Indicates that an entity is associated with a price return index value, typically reflecting changes in price excluding income components like dividends.
-
C.
isValuePriced
Indicates that something is offered at a relatively low or favorable price compared to typical or premium alternatives.
-
D.
hasMarketPriceRange
Indicates that an entity is associated with a specified range of possible market prices at which it can be bought or sold.
-
E.
productPricing
Indicates the pricing details or cost structure assigned to a specific product.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.