Triple
T965042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonald-Dunn Research Forest |
E20818
|
entity |
| Predicate | hasManagementGoal |
P22222
|
FINISHED |
| Object | balance research, education, recreation, and revenue generation |
—
|
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: balance research, education, recreation, and revenue generation | Statement: [McDonald-Dunn Research Forest, hasManagementGoal, balance research, education, recreation, and revenue generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManagementGoal Context triple: [McDonald-Dunn Research Forest, hasManagementGoal, balance research, education, recreation, and revenue generation]
-
A.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
B.
hasManagementPlan
Indicates that an entity is associated with a defined management plan specifying how it should be overseen, maintained, or administered.
-
C.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
-
D.
hasConservationGoal
Indicates that an entity is associated with or aims to achieve a specific conservation-related objective or target.
-
E.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
- F. None of above. chosen
Provenance (4 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b36064a48190b85c402f32cbadd1 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.