Triple
T4222740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Forestry Center |
E94379
|
entity |
| Predicate | WorldForestInstituteFocus |
P9953
|
FINISHED |
| Object | international forestry fellowships |
—
|
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: international forestry fellowships | Statement: [World Forestry Center, WorldForestInstituteFocus, international forestry fellowships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldForestInstituteFocus Context triple: [World Forestry Center, WorldForestInstituteFocus, international forestry fellowships]
-
A.
forestryActivity
Indicates activities related to the management, use, or cultivation of forest resources, such as logging, planting, or forest maintenance.
-
B.
conservationFocus
Indicates that the primary emphasis or priority of an entity, project, or action is on conservation-related goals, activities, or outcomes.
-
C.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
D.
isUrbanForest
Indicates that an area of trees and vegetation is located within or closely integrated with an urban or suburban environment.
-
E.
environmentalFocus
chosen
Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.