Triple
T14945438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COUNTRY Financial |
E372643
|
entity |
| Predicate | offersPolicyType |
P116779
|
FINISHED |
| Object | property insurance policy |
—
|
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: property insurance policy | Statement: [COUNTRY Financial, offersPolicyType, property insurance policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersPolicyType Context triple: [COUNTRY Financial, offersPolicyType, property insurance policy]
-
A.
offersPlanType
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
B.
offersPanelType
Indicates that an entity provides or makes available a specific type of panel as part of its offerings.
-
C.
offersServiceType
Indicates that one entity provides or makes available a specific type or category of service to another entity or the public.
-
D.
offersLayerType
Indicates that one entity provides or makes available a specific type of layer to another entity or context.
-
E.
offersEnrollmentType
Indicates that an entity provides or makes available a specific type or category of enrollment option.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:39 a.m.