Triple
T37502061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope & Talbot |
E931990
|
entity |
| Predicate | operatedTimberOperations |
P41063
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pope & Talbot, operatedTimberOperations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedTimberOperations Context triple: [Pope & Talbot, operatedTimberOperations, true]
-
A.
operatedMajorSawmills
Indicates that an entity ran or managed the primary large-scale sawmill facilities associated with another entity or location.
-
B.
forestryActivity
chosen
Indicates activities related to the management, use, or cultivation of forest resources, such as logging, planting, or forest maintenance.
-
C.
timberSource
Indicates that one entity serves as the origin or provider of timber material for another entity.
-
D.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
E.
hasForestDepartmentFacility
Indicates that a location or entity contains, hosts, or is served by a facility operated by the forest department.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0301289dbc8190a4372958d3451171 |
completed | May 12, 2026, 10:30 a.m. |
| PD | Predicate disambiguation | batch_6a0300d4185c8190a383d5da3659bc4f |
completed | May 12, 2026, 10:28 a.m. |
Created at: May 3, 2026, 4:17 p.m.