Triple
T1427787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 ETFs |
E30371
|
entity |
| Predicate | underlyingIndexType |
P19875
|
FINISHED |
| Object | market-cap-weighted index |
—
|
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: market-cap-weighted index | Statement: [S&P 500 ETFs, underlyingIndexType, market-cap-weighted index]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingIndexType Context triple: [S&P 500 ETFs, underlyingIndexType, market-cap-weighted index]
-
A.
indexType
chosen
Indicates the classification or category of an index associated with an entity or structure.
-
B.
associatedIndex
Indicates that one entity is linked to another through a corresponding index or positional reference.
-
C.
offsetType
Indicates the specific kind or category of offset applied in a relationship, such as how far or in what manner one value, position, or event is shifted relative to another.
-
D.
hasBaseIndex
Indicates that one entity serves as the reference or starting index from which another entity’s position, offset, or ordering is calculated.
-
E.
underlyingInstrument
Indicates that one financial instrument serves as the reference or basis for the value, payoff, or structure of another financial instrument.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.