Triple
T16964713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Forest Resources Assessment |
E411512
|
entity |
| Predicate | notableEdition |
P3094
|
FINISHED |
| Object | FRA 1990 |
E411514
|
NE 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: FRA 1990 | Statement: [Global Forest Resources Assessment, notableEdition, FRA 1990]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FRA 1990 Context triple: [Global Forest Resources Assessment, notableEdition, FRA 1990]
-
A.
FRA 1990
chosen
FRA 1990 is an early global assessment by the Food and Agriculture Organization that provided a comprehensive overview of the world’s forest resources and their status around 1990.
-
B.
FRA 2000
FRA 2000 is a landmark edition of the FAO’s Global Forest Resources Assessment that provided a comprehensive global overview of forest extent, condition, and management at the turn of the millennium.
-
C.
FRA 2010
FRA 2010 is a major global assessment report that provides comprehensive data and analysis on the world’s forest resources and their changes around 2010.
-
D.
FRA 2005
FRA 2005 is a major edition of the FAO’s Global Forest Resources Assessment that provided a comprehensive global overview of forest extent, condition, management, and use around the mid-2000s.
-
E.
FRA
FRA is the acronym for the Global Forest Resources Assessment, a periodic FAO-led study that evaluates the state and trends of the world’s forests.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46cb56481908c2bc6648a12fbcf |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.