Triple
T37502060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope & Talbot |
E931990
|
entity |
| Predicate | operatedMajorSawmills |
P203964
|
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, operatedMajorSawmills, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedMajorSawmills Context triple: [Pope & Talbot, operatedMajorSawmills, true]
-
A.
operatedMillsIn
Indicates that an entity ran or managed the functioning of mills located within a specified place or region.
-
B.
sawMajorOperationsBy
Indicates that the subject entity experienced or witnessed significant or large-scale operations carried out by the object entity.
-
C.
hasMajorForest
Indicates that an entity possesses or contains a large, significant forested area.
-
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.
minesOperatedBy
Indicates that a mine is operated or run by a particular organization or entity.
- F. None of above. chosen
Provenance (4 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_6a03008316dc8190a9f6faf48d25a4f8 |
completed | May 12, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a030023e66881909ea79f1365ab538a |
completed | May 12, 2026, 10:25 a.m. |
| PDg | Predicate description generation | batch_6a0300826db8819082abc534bae8edb1 |
completed | May 12, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:17 p.m.