Triple
T9321357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltra Island |
E224267
|
entity |
| Predicate | hasManagementPolicy |
P8851
|
FINISHED |
| Object | strict environmental regulations |
—
|
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: strict environmental regulations | Statement: [Baltra Island, hasManagementPolicy, strict environmental regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManagementPolicy Context triple: [Baltra Island, hasManagementPolicy, strict environmental regulations]
-
A.
hasManagement
Indicates that one entity exercises managerial authority or oversight over another entity.
-
B.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
C.
hasManagementPlan
chosen
Indicates that an entity is associated with a defined management plan specifying how it should be overseen, maintained, or administered.
-
D.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
E.
hasEnrollmentPolicy
Indicates that there is a specific rule or set of rules governing who may enroll in, access, or participate in something and under what conditions.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f2bd288190bb1556a88d9e90f3 |
completed | April 1, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.