Triple
T13429847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikasuki people |
E313577
|
entity |
| Predicate | dispersalCause |
P51873
|
FINISHED |
| Object | U.S. expansion in the Southeast |
—
|
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: U.S. expansion in the Southeast | Statement: [Mikasuki people, dispersalCause, U.S. expansion in the Southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dispersalCause Context triple: [Mikasuki people, dispersalCause, U.S. expansion in the Southeast]
-
A.
seedDispersal
Indicates the process by which seeds are transported away from the parent organism to new locations, often via wind, water, or animals.
-
B.
dispersalVector
Indicates the means or agent by which something (such as an organism, propagule, or substance) is spread or transported from one location to another.
-
C.
dispersalUnit
Indicates the type or form of unit in which something (such as seeds, spores, or organisms) is spread or dispersed from one place to another.
-
D.
displacementCause
chosen
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
E.
movementOfSpecies
Indicates the relocation or spread of a species from one place or region to another over time.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.