Triple
T18223889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roanoke Colony |
E436373
|
entity |
| Predicate | hasHypothesisAboutFate |
P62484
|
FINISHED |
| Object | integration with local Native American tribes |
—
|
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: integration with local Native American tribes | Statement: [Roanoke Colony, hasHypothesisAboutFate, integration with local Native American tribes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHypothesisAboutFate Context triple: [Roanoke Colony, hasHypothesisAboutFate, integration with local Native American tribes]
-
A.
eventualFate
Indicates the ultimate outcome or final state that an entity is destined to reach over time.
-
B.
afterlifeFate
Indicates the outcome or condition an entity experiences in the afterlife as a result of its life or actions.
-
C.
proposesHypothesis
chosen
Indicates that one entity puts forward a tentative explanation or hypothesis for consideration regarding another entity or phenomenon.
-
D.
fate
Indicates that an entity is destined or predetermined to experience a particular outcome or course of events beyond its control.
-
E.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47d9b348190897d5a1e70b39ec5 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.