Triple
T8318025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRV |
E194753
|
entity |
| Predicate | issuerFocus |
P29435
|
FINISHED |
| Object | property and casualty insurance in the United States |
—
|
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 and casualty insurance in the United States | Statement: [TRV, issuerFocus, property and casualty insurance in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerFocus Context triple: [TRV, issuerFocus, property and casualty insurance in the United States]
-
A.
issuerFounded
Indicates that one entity is the organization or person that established or created the other entity at its founding.
-
B.
issuerSpecialization
chosen
Indicates the particular field, domain, or area of expertise in which the issuer is specialized.
-
C.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
D.
issuerPosition
Indicates the role, rank, or job position held by the entity acting as the issuer in a given context.
-
E.
issuerESGFocus
Indicates that the issuer emphasizes or prioritizes environmental, social, and governance (ESG) factors in its activities or strategy.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.