Triple
T13025784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson County, Minnesota |
E326301
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Alpha, Minnesota
Alpha, Minnesota is a small rural city located in Jackson County in the southwestern part of the state.
|
E1016230
|
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: Alpha, Minnesota | Statement: [Jackson County, Minnesota, hasCity, Alpha, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpha, Minnesota Context triple: [Jackson County, Minnesota, hasCity, Alpha, Minnesota]
-
A.
Alden, Minnesota
Alden, Minnesota is a small rural city located in southern Minnesota within Freeborn County.
-
B.
Adams, Minnesota
Adams, Minnesota is a small rural city located in Mower County in the southeastern part of the state.
-
C.
Isanti, Minnesota
Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
-
D.
Lindstrom, Minnesota
Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
-
E.
Anoka, Minnesota
Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
- 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: Alpha, Minnesota Triple: [Jackson County, Minnesota, hasCity, Alpha, Minnesota]
Generated description
Alpha, Minnesota is a small rural city located in Jackson County in the southwestern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alpha, Minnesota Target entity description: Alpha, Minnesota is a small rural city located in Jackson County in the southwestern part of the state.
-
A.
Alden, Minnesota
Alden, Minnesota is a small rural city located in southern Minnesota within Freeborn County.
-
B.
Adams, Minnesota
Adams, Minnesota is a small rural city located in Mower County in the southeastern part of the state.
-
C.
Isanti, Minnesota
Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
-
D.
Lindstrom, Minnesota
Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
-
E.
Anoka, Minnesota
Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c43bc75c8190887b8135fbc8bbb5 |
completed | May 3, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c50cf3c08190b1ef6379f1f96201 |
completed | May 3, 2026, 3:46 a.m. |
Created at: April 9, 2026, 8:53 p.m.