Triple
T21246146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tithe Barn |
E523613
|
entity |
| Predicate | taxTypeStored |
P3166
|
FINISHED |
| Object | tithes paid in kind |
—
|
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: tithes paid in kind | Statement: [Tithe Barn, taxTypeStored, tithes paid in kind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxTypeStored Context triple: [Tithe Barn, taxTypeStored, tithes paid in kind]
-
A.
taxType
chosen
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
introducedTaxType
Indicates that an entity (such as a government or authority) has brought a particular type of tax into existence or put it into effect.
-
C.
typeOfTaxCredit
Indicates that one entity is a specific kind or category of tax credit in relation to another entity.
-
D.
taxationMethod
Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
-
E.
taxRate
Indicates the percentage or proportion of a taxable amount that is imposed as tax in a given context.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:51 p.m.