Triple
T241867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WY |
E4947
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Weyerhaeuser Company |
E1563
|
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: Weyerhaeuser Company | Statement: [WY, represents, Weyerhaeuser Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weyerhaeuser Company Context triple: [WY, represents, Weyerhaeuser Company]
-
A.
Weyerhaeuser Company
chosen
Weyerhaeuser Company is a major American timberland and forest products company, historically one of the world’s largest private owners of softwood timber.
-
B.
Georgia-Pacific
Georgia-Pacific is a major American pulp and paper company known for producing tissue, packaging, building products, and related chemicals.
-
C.
International Paper
International Paper is a leading global producer of renewable fiber-based packaging, pulp, and paper products.
-
D.
International Forest Products
International Forest Products is a global trading company specializing in the marketing and distribution of forest products such as paper, pulp, and lumber.
-
E.
Southern Company
Southern Company is one of the largest U.S. energy providers, primarily supplying electricity and natural gas across the southeastern United States through its regulated utilities and related businesses.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25cee6f208190b996be4faa700910 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36961e5688190b3a1ff61bb06233c |
completed | Feb. 28, 2026, 10:17 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.