Triple
T24270011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Growth |
E605250
|
entity |
| Predicate | sectorBias |
P5739
|
FINISHED |
| Object | often overweight technology-related sectors |
—
|
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: often overweight technology-related sectors | Statement: [S&P 500 Growth, sectorBias, often overweight technology-related sectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorBias Context triple: [S&P 500 Growth, sectorBias, often overweight technology-related sectors]
-
A.
sectorWeighting
chosen
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
B.
sectorNeutral
Indicates that the relationship or action is independent of, or unaffected by, the specific sector or industry of the entities involved.
-
C.
sectorInfluence
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
-
D.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
E.
sectorHighlighted
Indicates that a particular sector or segment within a larger structure (such as a chart, map, or system) is visually or logically emphasized or selected.
- 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.