Triple
T30079031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Parishes |
E764400
|
entity |
| Predicate | formerColonyPartOf |
P95255
|
FINISHED |
| Object | British West Florida |
—
|
NE NERFINISHED |
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: British West Florida | Statement: [Florida Parishes, formerColonyPartOf, British West Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerColonyPartOf Context triple: [Florida Parishes, formerColonyPartOf, British West Florida]
-
A.
partOfColonialEntity
chosen
Indicates that one entity is a constituent or subordinate territorial unit within a larger colonial political or administrative entity.
-
B.
formerColonyName
Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
-
C.
isColonialFoundationOf
Indicates that one entity was established as a colony that later developed into or served as the origin of the other entity.
-
D.
wasColonialPower
Indicates that one entity historically exercised colonial control or dominance over another entity.
-
E.
locatedInFormerColonyOf
Indicates that one entity is geographically situated within a territory that was formerly a colony of another entity.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: April 29, 2026, 7:02 p.m.