Triple
T24270054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Value |
E605251
|
entity |
| Predicate | hasNetTotalReturnVersion |
P98768
|
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, hasNetTotalReturnVersion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetTotalReturnVersion Context triple: [S&P 500 Value, hasNetTotalReturnVersion, true]
-
A.
hasNetReturnVersion
Indicates that one entity is a specific .NET (dotnet) version associated with the net return or outcome of another entity.
-
B.
isTotalReturnVariantAvailable
chosen
Indicates whether a total return variant of a product, instrument, or metric is available.
-
C.
isTotalReturnIndex
Indicates that the index value reflects total return, including both price changes and reinvested income such as dividends or interest.
-
D.
hasVersionCount
Indicates the total number of distinct versions associated with a given entity.
-
E.
hasVersionStatus
Indicates that an entity is associated with a particular version state or status within its lifecycle or revision history.
- 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.