Triple
T2281189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clergy reserves |
E51282
|
entity |
| Predicate | allocationShare |
P36238
|
FINISHED |
| Object | one-seventh of public lands in each township |
—
|
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-seventh of public lands in each township | Statement: [Clergy reserves, allocationShare, one-seventh of public lands in each township]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocationShare Context triple: [Clergy reserves, allocationShare, one-seventh of public lands in each township]
-
A.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
B.
allocationAuthority
Indicates that an entity has the power or right to decide how resources, tasks, or responsibilities are distributed among others.
-
C.
privateOwnershipShare
Indicates the proportion or share of ownership in an entity that is held by private (non-governmental) owners.
-
D.
awardSharedWith
Indicates that an award or honor is jointly given to or shared between the subject and the specified co-recipient(s).
-
E.
isSharedBy
Indicates that something is jointly possessed, used, or experienced by two or more entities.
- 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_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. |
| PDg | Predicate description generation | batch_69abbe4368a88190956bc9ee89c0fd1f |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:48 p.m.