Triple
T20794684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Area Risk Protection Insurance |
E511880
|
entity |
| Predicate | indemnityBasis |
P141562
|
FINISHED |
| Object | county average yield |
—
|
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 average yield | Statement: [Area Risk Protection Insurance, indemnityBasis, county average yield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indemnityBasis Context triple: [Area Risk Protection Insurance, indemnityBasis, county average yield]
-
A.
hasIndemnity
Indicates that one party provides indemnification or protection to another party against specified losses, damages, or liabilities.
-
B.
requiredIndemnityReceiver
Indicates that one party is obligated to provide indemnity (compensation or protection against loss) to another specified party.
-
C.
indemnityPayableOverYears
Indicates that an indemnity obligation is to be paid out in installments over a specified number of years rather than as a single lump sum.
-
D.
liabilityType
Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
-
E.
benefitProtection
Indicates that one entity provides protective advantages or safeguards that benefit another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:39 p.m.