Triple
T21856123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Mix County, South Dakota |
E539630
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Wagner, South Dakota |
—
|
NE NERFINISHED |
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: Wagner, South Dakota | Statement: [Charles Mix County, South Dakota, containsSettlement, Wagner, South Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wagner, South Dakota Context triple: [Charles Mix County, South Dakota, containsSettlement, Wagner, South Dakota]
-
A.
Wagner, South Dakota
chosen
Wagner, South Dakota is a small city in Charles Mix County known as a local service and trade center in southeastern South Dakota.
-
B.
Warner, South Dakota
Warner, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
-
C.
Wasta, South Dakota
Wasta, South Dakota is a small rural town located in western South Dakota within the Black Hills region.
-
D.
Webster, South Dakota
Webster, South Dakota is a small city in northeastern South Dakota known as a local agricultural and service center for the surrounding rural region.
-
E.
Herrick, South Dakota
Herrick, South Dakota is a small rural town located in Gregory County in the south-central region of the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d635b59c81908810480f3802b847 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.