Triple
T6110793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrizia UK |
E136232
|
entity |
| Predicate | focusesOnAssetClass |
P67186
|
FINISHED |
| Object | commercial real estate |
—
|
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: commercial real estate | Statement: [Patrizia UK, focusesOnAssetClass, commercial real estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnAssetClass Context triple: [Patrizia UK, focusesOnAssetClass, commercial real estate]
-
A.
notableAssetClass
Indicates that an entity is significantly associated with, or recognized for, a particular class of assets.
-
B.
coversAssetClass
Indicates that one entity (such as a product, service, or policy) includes, applies to, or provides coverage for a specified asset class.
-
C.
assetClassesTraded
chosen
Indicates that an entity trades, deals in, or is involved with specific categories or classes of financial assets.
-
D.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
E.
investmentScope
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbbbea88190b889a7c30af1d71a |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.