Triple
T591471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prudential Financial |
E17279
|
entity |
| Predicate | hasMajorBusinessLine |
P16009
|
FINISHED |
| Object | individual solutions |
—
|
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: individual solutions | Statement: [Prudential Financial, hasMajorBusinessLine, individual solutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorBusinessLine Context triple: [Prudential Financial, hasMajorBusinessLine, individual solutions]
-
A.
hasMajorOrganization
Indicates that an entity is associated with or primarily represented by a major organization.
-
B.
hasBusinessDivision
Indicates that an organization includes or is composed of a specific business division as a subordinate unit.
-
C.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
-
D.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
E.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.