Triple
T16141693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauk and Fox |
E391671
|
entity |
| Predicate | hasColonialEraInteractionWith |
P121265
|
FINISHED |
| Object | French colonists |
—
|
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: French colonists | Statement: [Sauk and Fox, hasColonialEraInteractionWith, French colonists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonialEraInteractionWith Context triple: [Sauk and Fox, hasColonialEraInteractionWith, French colonists]
-
A.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
B.
hasColonialHistory
Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
-
C.
previousColonialInvolvement
Indicates that one entity had a colonial role or presence in another entity at some time in the past.
-
D.
wasColonialPower
Indicates that one entity historically exercised colonial control or dominance over another entity.
-
E.
hasColonialCity
Indicates that an entity possesses or includes a city that was established or significantly developed during a period of colonial rule.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a087c848190aba9ed2ccb422427 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.