Triple
T30732137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina (colony) |
E782450
|
entity |
| Predicate | splitFormalized |
P50238
|
FINISHED |
| Object | 1729 |
—
|
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: 1729 | Statement: [Carolina (colony), splitFormalized, 1729]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splitFormalized Context triple: [Carolina (colony), splitFormalized, 1729]
-
A.
formalizedUnder
Indicates that something has been officially established, defined, or codified within the framework, authority, or provisions of a particular formal system, agreement, or institution.
-
B.
formalization
Indicates that an informal concept, process, or agreement is being expressed, structured, or codified in a formal, explicit, and often standardized way.
-
C.
formalizedDivisionOf
chosen
Indicates a relationship where one entity is officially and explicitly divided into distinct parts or sub-entities according to a formal rule, structure, or agreement.
-
D.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
-
E.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:37 p.m.