Triple
T2281209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clergy reserves |
E51282
|
entity |
| Predicate | revenueUseAfterAbolition |
P9389
|
FINISHED |
| Object | general public purposes |
—
|
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: general public purposes | Statement: [Clergy reserves, revenueUseAfterAbolition, general public purposes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revenueUseAfterAbolition Context triple: [Clergy reserves, revenueUseAfterAbolition, general public purposes]
-
A.
revenueUse
chosen
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
-
B.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
C.
abolishedDuring
Indicates that an entity or practice ceased to exist or was officially ended within the time period defined by another entity.
-
D.
afterAbolition
Indicates that one event, condition, or state occurs subsequent to the formal ending or abolition of another practice, system, or institution.
-
E.
demonetized
Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21c405881908c4df7bee36136fe |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.