Triple
T19610427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concordia College (Moorhead, Minnesota) |
E470714
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Moorhead |
—
|
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: Moorhead | Statement: [Concordia College (Moorhead, Minnesota), city, Moorhead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moorhead Context triple: [Concordia College (Moorhead, Minnesota), city, Moorhead]
-
A.
Moorhead
Moorhead is a small town in Sunflower County, Mississippi, known historically as a railroad junction in the Mississippi Delta region.
-
B.
Moorhead, Minnesota
chosen
Moorhead, Minnesota is a city in northwestern Minnesota located along the Red River of the North, forming part of the Fargo–Moorhead metropolitan area.
-
C.
Bemidji
Bemidji is a small regional hub in northern Minnesota known for its lakes, outdoor recreation, and status as the "First City on the Mississippi."
-
D.
Fargo
Fargo is the NATO reporting name for the Mikoyan-Gurevich MiG-9, an early Soviet jet fighter developed shortly after World War II.
-
E.
Fargo
Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cb180c8190ba96ffb69c24e2e1 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.