Triple
T33076625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuteronomy 14:28–29 |
E846380
|
entity |
| Predicate | typeOfTithe |
P102330
|
FINISHED |
| Object | third-year tithe |
—
|
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: third-year tithe | Statement: [Deuteronomy 14:28–29, typeOfTithe, third-year tithe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTithe Context triple: [Deuteronomy 14:28–29, typeOfTithe, third-year tithe]
-
A.
typeOfBequest
Indicates the specific kind or category of bequest involved in a transfer or inheritance relationship.
-
B.
typeOfTribute
chosen
Indicates the specific kind or category of tribute that is being given or required in a relationship.
-
C.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
-
D.
typeOfTaxCredit
Indicates that one entity is a specific kind or category of tax credit in relation to another entity.
-
E.
ecclesiasticalType
Indicates the specific ecclesiastical category or classification that applies to a religious entity within a church hierarchy.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a009d623f6c8190b702e2892c52fbb2 |
completed | May 10, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_6a009a3050d48190b64567f28e6ea463 |
completed | May 10, 2026, 2:46 p.m. |
Created at: May 1, 2026, 1:25 a.m.