Triple
T17541161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAFO Division 1 |
E427201
|
entity |
| Predicate | hasManagementMeasures |
P25140
|
FINISHED |
| Object | total allowable catches |
—
|
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: total allowable catches | Statement: [NAFO Division 1, hasManagementMeasures, total allowable catches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManagementMeasures Context triple: [NAFO Division 1, hasManagementMeasures, total allowable catches]
-
A.
hasConservationMeasure
chosen
Indicates that a specific conservation action, policy, or measure is applied to or associated with an entity to protect or manage it.
-
B.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
C.
hasManagementGoal
Indicates that an entity is associated with a specific management objective or target it is intended to achieve or support.
-
D.
hasManagementPlan
Indicates that an entity is associated with a defined management plan specifying how it should be overseen, maintained, or administered.
-
E.
hasManagementRelevance
Indicates that something is pertinent or significant to management activities, decisions, or responsibilities.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545e64448190a2a63bc13f549027 |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.