Triple
T8318857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templeton Growth Fund |
E194775
|
entity |
| Predicate | portfolioTurnoverStyle |
P81915
|
FINISHED |
| Object | low turnover |
—
|
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: low turnover | Statement: [Templeton Growth Fund, portfolioTurnoverStyle, low turnover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portfolioTurnoverStyle Context triple: [Templeton Growth Fund, portfolioTurnoverStyle, low turnover]
-
A.
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.
-
B.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
C.
marksStylisticShiftFrom
Indicates that one element signals a change in style, tone, or manner relative to another element.
-
D.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
E.
tradingApproach
Indicates the method or strategy an entity uses to conduct trading activities or make trade-related decisions.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f648e10819081ad1fed870b2b86 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:55 p.m.