Triple
T6467877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allied occupation directives |
E142273
|
entity |
| Predicate | includesPolicyOn |
P57657
|
FINISHED |
| Object | land reform in occupied territories |
—
|
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: land reform in occupied territories | Statement: [Allied occupation directives, includesPolicyOn, land reform in occupied territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPolicyOn Context triple: [Allied occupation directives, includesPolicyOn, land reform in occupied territories]
-
A.
containsPolicyOn
chosen
Indicates that one entity includes, references, or incorporates a specific policy within it.
-
B.
issuesPolicyOn
Indicates that an authority or organization formally creates, approves, or enacts a policy concerning a particular subject or domain.
-
C.
isOnPolicy
Indicates that an action, configuration, or behavior complies with and adheres to a specified policy or set of rules.
-
D.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
E.
coversPolicyArea
Indicates that a policy, document, or initiative includes or addresses a particular policy area or topic within its scope.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a1461f08190b75f97c0bb3b0be6 |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.