Triple
T10166211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maaser Rishon |
E235209
|
entity |
| Predicate | fractionOfProduce |
P92183
|
FINISHED |
| Object | one tenth |
—
|
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: one tenth | Statement: [Maaser Rishon, fractionOfProduce, one tenth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fractionOfProduce Context triple: [Maaser Rishon, fractionOfProduce, one tenth]
-
A.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
B.
includesProduce
Indicates that one entity contains or offers certain produce items as part of its contents, inventory, or offerings.
-
C.
commodityProduced
Indicates that a particular commodity is generated, manufactured, or otherwise produced by a specified entity or process.
-
D.
typeOfFarmProductInDispute
Indicates that a specific kind of farm product is the subject of a disagreement, conflict, or legal dispute between parties.
-
E.
cropMilkProducedBy
Indicates that a specific quantity or type of milk is produced by a particular crop or plant source.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6cf27481909f38839452ac0e37 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.