Triple
T13424598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mound Township, Minnesota |
E313444
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Mound Township
Mound Township is a local civil township located in the state of Minnesota in the United States.
|
E1038730
|
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: Mound Township | Statement: [Mound Township, Minnesota, hasName, Mound Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mound Township Context triple: [Mound Township, Minnesota, hasName, Mound Township]
-
A.
Dymond Township
Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
-
B.
Readmond Township
Readmond Township is a small civil township located in Emmet County in the northern part of Michigan’s Lower Peninsula.
-
C.
Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
-
D.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
E.
Moore Township
Moore Township was a former municipality in Ontario, Canada, that later became part of St. Clair Township through amalgamation.
- 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: Mound Township Triple: [Mound Township, Minnesota, hasName, Mound Township]
Generated description
Mound Township is a local civil township located in the state of Minnesota in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mound Township Target entity description: Mound Township is a local civil township located in the state of Minnesota in the United States.
-
A.
Dymond Township
Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
-
B.
Readmond Township
Readmond Township is a small civil township located in Emmet County in the northern part of Michigan’s Lower Peninsula.
-
C.
Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
-
D.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
E.
Moore Township
Moore Township was a former municipality in Ontario, Canada, that later became part of St. Clair Township through amalgamation.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308673488190a64f4b205899605b |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7316101e48190b3ec59a4376a0562 |
completed | May 3, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731f8e98c8190becfad8e3a371484 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:39 p.m.