Triple
T2174175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union fisheries policy |
E48488
|
entity |
| Predicate | includesPillar |
P1393
|
FINISHED |
| Object | conservation policy |
—
|
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: conservation policy | Statement: [European Union fisheries policy, includesPillar, conservation policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPillar Context triple: [European Union fisheries policy, includesPillar, conservation policy]
-
A.
belongsToPillar
Indicates that something is a component or member of a specific pillar or foundational category.
-
B.
recognizesPillar
Indicates that one entity acknowledges or identifies another entity as a fundamental support, key element, or core principle within a given context.
-
C.
hasBlueprintPillars
Indicates that something includes or is associated with foundational structural elements that serve as key supporting pillars in its blueprint or design.
-
D.
majorPillarContext
Indicates that one entity serves as a primary supporting pillar or foundational context for understanding, structuring, or interpreting another entity.
-
E.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.