Triple
T645140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir George Carteret |
E11223
|
entity |
| Predicate | roleInColonies |
P16892
|
FINISHED |
| Object | proprietary governance of New Jersey |
—
|
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 governance of New Jersey | Statement: [Sir George Carteret, roleInColonies, proprietary governance of New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInColonies Context triple: [Sir George Carteret, roleInColonies, proprietary governance of New Jersey]
-
A.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
B.
colonialOffshoot
Indicates that one entity originated as a colony or derivative settlement established by another entity.
-
C.
wasColonialPower
Indicates that one entity historically exercised colonial control or dominance over another entity.
-
D.
wasColonyOf
Indicates that one entity functioned as a colony under the political control or administration of another entity.
-
E.
formerColonyName
Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f19f9a08190b0bf6e19b32427ff |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.