Triple
T21768476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory County, South Dakota |
E537358
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Dallas, South Dakota
Dallas, South Dakota is a small rural town located in south-central South Dakota within Gregory County.
|
E1507798
|
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: Dallas, South Dakota | Statement: [Gregory County, South Dakota, hasSettlement, Dallas, South Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dallas, South Dakota Context triple: [Gregory County, South Dakota, hasSettlement, Dallas, South Dakota]
-
A.
Davis, South Dakota
Davis, South Dakota is a small rural town located in Turner County in the southeastern part of the state.
-
B.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
C.
Vermillion, South Dakota
Vermillion, South Dakota is a small city in southeastern South Dakota best known as the home of the University of South Dakota and its flagship campus.
-
D.
Arlington, South Dakota
Arlington, South Dakota is a small rural city in eastern South Dakota known as the birthplace of Nobel Prize–winning economist Theodore W. Schultz.
-
E.
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.
- 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: Dallas, South Dakota Triple: [Gregory County, South Dakota, hasSettlement, Dallas, South Dakota]
Generated description
Dallas, South Dakota is a small rural town located in south-central South Dakota within Gregory County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dallas, South Dakota Target entity description: Dallas, South Dakota is a small rural town located in south-central South Dakota within Gregory County.
-
A.
Davis, South Dakota
Davis, South Dakota is a small rural town located in Turner County in the southeastern part of the state.
-
B.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
C.
Vermillion, South Dakota
Vermillion, South Dakota is a small city in southeastern South Dakota best known as the home of the University of South Dakota and its flagship campus.
-
D.
Arlington, South Dakota
Arlington, South Dakota is a small rural city in eastern South Dakota known as the birthplace of Nobel Prize–winning economist Theodore W. Schultz.
-
E.
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.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ac10808190837a0f69c4f8a02d |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a59f2dc08819092f94052c8efaf20 |
completed | May 18, 2026, 12:14 a.m. |
| NEDg | Description generation | batch_6a0a5b34e1948190868859eae050ed22 |
completed | May 18, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5bce1c388190aa0149fab353f30f |
completed | May 18, 2026, 12:22 a.m. |
Created at: April 16, 2026, 6:51 p.m.