Triple
T1427765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 ETFs |
E30371
|
entity |
| Predicate | typicalHoldingsType |
P28970
|
FINISHED |
| Object | large-cap U.S. stocks |
—
|
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: large-cap U.S. stocks | Statement: [S&P 500 ETFs, typicalHoldingsType, large-cap U.S. stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHoldingsType Context triple: [S&P 500 ETFs, typicalHoldingsType, large-cap U.S. stocks]
-
A.
portfolioHeldBy
Indicates that a particular portfolio is owned, managed, or maintained by a specified entity.
-
B.
numberOfHoldings
Indicates the quantity of distinct holdings or assets associated with an entity.
-
C.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
D.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
E.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
- 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_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. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.