Triple
T6581693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPY |
E157309
|
entity |
| Predicate | marketCapExposure |
P71614
|
FINISHED |
| Object | large-cap |
—
|
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 | Statement: [SPY, marketCapExposure, large-cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketCapExposure Context triple: [SPY, marketCapExposure, large-cap]
-
A.
blueChipExposure
Indicates the extent to which an entity is invested in or financially exposed to established, high-quality "blue chip" assets or companies.
-
B.
isMarketCapWeighted
Indicates that something (typically an index or portfolio) is constructed or allocated in proportion to the market capitalization of its constituent entities.
-
C.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
D.
hasInvestmentStyleExposure
Indicates that an entity (such as a portfolio or fund) is exposed to, or influenced by, a particular investment style (e.g., value, growth, momentum) in its holdings or strategy.
-
E.
isTotalMarketIndex
Indicates that the referenced financial instrument or dataset represents a total market index covering a broad or complete segment of a market rather than a subset.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:54 p.m.