Triple
T9143034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flandreau, South Dakota, United States |
E219377
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Moody County |
E833256
|
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: Moody County | Statement: [Flandreau, South Dakota, United States, partOf, Moody County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moody County Context triple: [Flandreau, South Dakota, United States, partOf, Moody County]
-
A.
Moody County
chosen
Moody County is a rural county in eastern South Dakota known for its agricultural landscape and the city of Flandreau as its county seat.
-
B.
Fisher County
Fisher County is a rural county in west-central Texas known for its agricultural economy and small, sparsely populated communities.
-
C.
Ellis County
Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
-
D.
Ellis County
Ellis County is a county in western Kansas known for its agricultural economy, small communities, and location along major transportation routes like Interstate 70.
-
E.
Ellis County
Ellis County is a county in north-central Texas known for its rapidly growing communities, historic towns, and proximity to the Dallas–Fort Worth metropolitan area.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f5f740819098236ada5b95889d |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b56fd9cc819089ed17169d313d8b |
completed | April 5, 2026, 7:18 p.m. |
Created at: March 30, 2026, 7:19 p.m.