Triple
T34072070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letters of Marque |
E873799
|
entity |
| Predicate | effectOfRestriction |
P176015
|
FINISHED |
| Object | abolished privateering among signatory powers |
—
|
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: abolished privateering among signatory powers | Statement: [Letters of Marque, effectOfRestriction, abolished privateering among signatory powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfRestriction Context triple: [Letters of Marque, effectOfRestriction, abolished privateering among signatory powers]
-
A.
consequenceOfRestrictions
chosen
Indicates the outcomes or effects that arise as a result of certain restrictions being imposed.
-
B.
hadRestrictions
Indicates that an entity was subject to specific limitations, rules, or constraints during a given time or context.
-
C.
hadRestrictionsOn
Indicates that one entity imposed or was subject to specific limitations, rules, or constraints regarding another entity or activity.
-
D.
policyRestriction
Indicates that an entity is subject to a limiting rule, condition, or constraint imposed by a policy.
-
E.
inhibitionEffect
Indicates that one entity reduces, blocks, or suppresses the activity, effect, or occurrence of another entity.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:52 a.m.