Triple
T6904677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Insurance Office |
E159782
|
entity |
| Predicate | sectorMonitored |
P70758
|
FINISHED |
| Object | insurance industry |
—
|
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: insurance industry | Statement: [Federal Insurance Office, sectorMonitored, insurance industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorMonitored Context triple: [Federal Insurance Office, sectorMonitored, insurance industry]
-
A.
sectorObservationTime
Indicates the specific time at which an observation related to a particular sector is made or recorded.
-
B.
sectorRecognized
Indicates that an entity has been formally acknowledged or classified within a particular sector or industry.
-
C.
monitoredFor
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
D.
isMonitored
chosen
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
E.
sectorProtected
Indicates that a particular sector or area is safeguarded from harm, access, or exploitation by some form of protection or regulation.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.