Triple
T8727893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort St. John |
E207175
|
entity |
| Predicate | strategicRoleIn |
P84296
|
FINISHED |
| Object | colonial-era conflicts in North America |
—
|
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: colonial-era conflicts in North America | Statement: [Fort St. John, strategicRoleIn, colonial-era conflicts in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategicRoleIn Context triple: [Fort St. John, strategicRoleIn, colonial-era conflicts in North America]
-
A.
developmentStrategyRole
Indicates the role or function an entity plays within a particular development strategy or plan.
-
B.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
C.
portfolioRole
Indicates the specific function, capacity, or position an entity holds within a portfolio or collection of assets.
-
D.
strategicStance
Indicates the overarching strategic position, approach, or orientation an entity adopts in relation to others or to a particular situation.
-
E.
roleInCommandStructure
Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1890e0819088b271db51faa738 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc489dd528819084ed5d88bd8bb3d6 |
completed | March 31, 2026, 10:20 p.m. |
Created at: March 30, 2026, 6:37 p.m.