Triple
T10930750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colony of Georgia |
E258197
|
entity |
| Predicate | lastOfThirteenColoniesFounded |
P96699
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Colony of Georgia, lastOfThirteenColoniesFounded, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastOfThirteenColoniesFounded Context triple: [Colony of Georgia, lastOfThirteenColoniesFounded, true]
-
A.
firstMajorColonyFoundationYear
Indicates the year in which an entity’s earliest or primary major colony was founded.
-
B.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
C.
regionOfColonyFounded
Indicates the geographic region in which a particular colony was originally founded.
-
D.
colonyFoundedBy
Indicates that a particular colony was established or created by a specific founding entity (such as a person, group, or organization).
-
E.
foundedAsColonyFor
Indicates that one entity was established as a colony specifically for the benefit, use, or purposes of another entity.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709f92088190a15ae3638d3b14fb |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:22 p.m.