Triple
T21907645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invesco Real Estate |
E540979
|
entity |
| Predicate | hasInvestmentStyle |
P145585
|
FINISHED |
| Object | active management |
—
|
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: active management | Statement: [Invesco Real Estate, hasInvestmentStyle, active management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestmentStyle Context triple: [Invesco Real Estate, hasInvestmentStyle, active management]
-
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.
hasInvestmentTheme
Indicates that an investment, fund, or financial product is associated with a particular overarching theme or strategic focus (such as technology, sustainability, or healthcare).
-
D.
hasVestmentColor
Indicates that an entity is associated with or characterized by a specific color of vestment.
-
E.
includesInvestmentVehicles
Indicates that one entity contains, comprises, or makes use of specific investment vehicles as part of its structure or offerings.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d806688190b23502aacbfde4bd |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:38 p.m.