Triple
T963210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Jersey |
E20780
|
entity |
| Predicate | hadColonialStatus |
P1829
|
FINISHED |
| Object | proprietary colony of England |
—
|
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: proprietary colony of England | Statement: [East Jersey, hadColonialStatus, proprietary colony of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadColonialStatus Context triple: [East Jersey, hadColonialStatus, proprietary colony of England]
-
A.
hadColonialAdministrationType
chosen
Indicates the specific form or system of colonial governance that was exercised over a territory or population.
-
B.
preColonialStatus
Indicates the condition, role, or social-political standing an entity held prior to the onset of colonial rule.
-
C.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
D.
wasColonialPower
Indicates that one entity historically exercised colonial control or dominance over another entity.
-
E.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a2e23c8190b932fe88b02f995d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.