Triple
T10930723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colony of Georgia |
E258197
|
entity |
| Predicate | firstSettled |
P5008
|
FINISHED |
| Object | 1733 |
—
|
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: 1733 | Statement: [Colony of Georgia, firstSettled, 1733]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSettled Context triple: [Colony of Georgia, firstSettled, 1733]
-
A.
settled
Indicates that an entity established residence or a stable presence in a place, typically after moving from elsewhere.
-
B.
settledAs
Indicates that one entity has been resolved, finalized, or agreed upon in the form or status of another entity.
-
C.
firstOf
chosen
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
D.
firstSignaledBy
Indicates that a particular event, condition, or state was initially brought to attention or detected by a specified entity.
-
E.
resolves
Indicates that one entity successfully finds a solution, answer, or outcome for a problem, conflict, or uncertainty involving 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_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. |
Created at: April 8, 2026, 9:22 p.m.