Triple
T5992221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Region (Cameroon) |
E133375
|
entity |
| Predicate | hasActivityImpact |
P17691
|
FINISHED |
| Object | deforestation from logging |
—
|
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: deforestation from logging | Statement: [East Region (Cameroon), hasActivityImpact, deforestation from logging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActivityImpact Context triple: [East Region (Cameroon), hasActivityImpact, deforestation from logging]
-
A.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
-
B.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
C.
hasSignificantActivity
Indicates that an entity exhibits a notable level or intensity of activity, performance, or operation relative to a defined threshold or context.
-
D.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
E.
hasNotableImpact
chosen
Indicates that one entity exerts a significant or noteworthy influence or effect on another entity or context.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e8fd030819095a4f3b3d425ec21 |
completed | March 22, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.