Triple
T12601683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technology, Manufacturing and Mining |
E300871
|
entity |
| Predicate | investmentRole |
P96550
|
FINISHED |
| Object | asset manager for Mubadala |
—
|
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: asset manager for Mubadala | Statement: [Technology, Manufacturing and Mining, investmentRole, asset manager for Mubadala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investmentRole Context triple: [Technology, Manufacturing and Mining, investmentRole, asset manager for Mubadala]
-
A.
investmentManager
chosen
Indicates a relationship where one entity manages or oversees the investments or investment portfolio on behalf of another entity.
-
B.
investmentScope
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
-
C.
roleInFinance
Indicates that an entity holds a specific function, responsibility, or position within a financial context, system, or transaction.
-
D.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
E.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:09 p.m.