Triple
T7189045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dai-ichi Life Insurance Company |
E167639
|
entity |
| Predicate | corporateFormChange |
P4439
|
FINISHED |
| Object | mutual company to stock company |
—
|
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: mutual company to stock company | Statement: [Dai-ichi Life Insurance Company, corporateFormChange, mutual company to stock company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corporateFormChange Context triple: [Dai-ichi Life Insurance Company, corporateFormChange, mutual company to stock company]
-
A.
changesCorporateTaxSystem
Indicates that an entity alters, reforms, or replaces an existing corporate tax system or its rules.
-
B.
corporateTransformation
chosen
Indicates a relationship where an organization undergoes a significant structural, strategic, or operational change from one corporate state to another.
-
C.
officialNameChangeTo
Indicates that an entity’s official name has been changed from a previous name to a new specified name.
-
D.
corporateStructure
Indicates how entities are organized, controlled, and related within a corporate hierarchy or ownership structure.
-
E.
officeTypeChange
Indicates a change in the designated type or classification of an office from one category to another.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e3d9188190ba2792098d76fb86 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.