Triple
T15130828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amica Mutual Insurance Company |
E361412
|
entity |
| Predicate | policyholderStructure |
P7881
|
FINISHED |
| Object | owned by policyholders |
—
|
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: owned by policyholders | Statement: [Amica Mutual Insurance Company, policyholderStructure, owned by policyholders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyholderStructure Context triple: [Amica Mutual Insurance Company, policyholderStructure, owned by policyholders]
-
A.
ownershipStructure
chosen
Indicates how ownership or control is distributed among entities within an organization or asset.
-
B.
benefitStructure
Indicates a relationship where one entity defines, organizes, or governs the benefits (such as advantages, compensations, or perks) provided to or associated with another entity.
-
C.
policyName
Indicates the specific name or title assigned to a policy associated with an entity.
-
D.
policyRepresentation
Indicates that one entity serves as a formal expression, model, or encoding of a policy defined or governed by another entity.
-
E.
payers
Indicates that certain entities make payments to, or are financially responsible for, other entities or obligations.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:06 a.m.