Triple
T20794701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Area Risk Protection Insurance |
E511880
|
entity |
| Predicate | lossMeasurementLevel |
P125404
|
FINISHED |
| Object | county level |
—
|
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: county level | Statement: [Area Risk Protection Insurance, lossMeasurementLevel, county level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lossMeasurementLevel Context triple: [Area Risk Protection Insurance, lossMeasurementLevel, county level]
-
A.
measurementLevel
chosen
Indicates the degree or scale at which something is measured or quantified, such as its level, intensity, or magnitude.
-
B.
lossType
Indicates the specific category or nature of a loss associated with an entity or event.
-
C.
enabledMeasurementOf
Indicates that one entity made it possible or allowed another entity to perform or obtain a specific measurement.
-
D.
lossContext
Indicates that some relevant information, state, or conditions from an earlier point in a process or interaction are no longer available or preserved in the current context.
-
E.
hasMeasurementDifficulty
Indicates that performing a measurement on something is challenging or problematic in some way.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2abbcc8819091bb0225a0650ab6 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.