Triple
T4435798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | southeastern South Dakota |
E95645
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Beresford, South Dakota |
E105274
|
NE 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: Beresford, South Dakota | Statement: [southeastern South Dakota, hasCity, Beresford, South Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beresford, South Dakota Context triple: [southeastern South Dakota, hasCity, Beresford, South Dakota]
-
A.
Beresford, South Dakota
chosen
Beresford, South Dakota is a small city in southeastern South Dakota known for its agricultural roots and tight-knit rural community.
-
B.
Humboldt, South Dakota
Humboldt, South Dakota is a small rural town in eastern South Dakota located just west of Sioux Falls.
-
C.
Fairview, South Dakota
Fairview, South Dakota is a small rural town located in Lincoln County in the southeastern part of the state near the Iowa border.
-
D.
Westport, South Dakota
Westport, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
-
E.
Harrisburg, South Dakota
Harrisburg, South Dakota is a rapidly growing suburban city near Sioux Falls known for its family-friendly community and strong school system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6375d0d8c819095a27cdc84af9faf |
completed | March 15, 2026, 4:36 a.m. |
Created at: March 12, 2026, 11:31 p.m.