Triple
T4507530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakota |
E101368
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object |
Yankton
Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
|
E447486
|
NE FINISHED |
How this triple was built (4 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: Yankton | Statement: [Dakota, subgroup, Yankton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yankton Context triple: [Dakota, subgroup, Yankton]
-
A.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
B.
Columbia, South Dakota
Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
-
C.
Hudson, South Dakota
Hudson, South Dakota is a small rural town located in southeastern South Dakota near the Iowa border.
-
D.
Brandon, South Dakota
Brandon, South Dakota is a small city in the Sioux Falls metropolitan area known as one of the fastest-growing communities in eastern South Dakota.
-
E.
Aberdeen, South Dakota
Aberdeen, South Dakota is a small city in northeastern South Dakota known as a regional commercial, educational, and cultural hub for the surrounding rural area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yankton Triple: [Dakota, subgroup, Yankton]
Generated description
Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yankton Target entity description: Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
-
A.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
B.
Columbia, South Dakota
Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
-
C.
Hudson, South Dakota
Hudson, South Dakota is a small rural town located in southeastern South Dakota near the Iowa border.
-
D.
Brandon, South Dakota
Brandon, South Dakota is a small city in the Sioux Falls metropolitan area known as one of the fastest-growing communities in eastern South Dakota.
-
E.
Aberdeen, South Dakota
Aberdeen, South Dakota is a small city in northeastern South Dakota known as a regional commercial, educational, and cultural hub for the surrounding rural area.
- F. None of above. chosen
Provenance (5 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570e7bb8819097f7a575384a10a8 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6fa0e3948190b7667e3db2131c1f |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71b00a2481909309765b6cc2e73d |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd727abda08190bdc1d6ea015f3e46 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:01 p.m.