Triple
T14573341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calhoun County, Michigan |
E341974
|
entity |
| Predicate | containsTownship |
P847
|
FINISHED |
| Object |
Lee Township, Michigan
Lee Township, Michigan is a small civil township located within Calhoun County in the U.S. state of Michigan.
|
E1116555
|
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: Lee Township, Michigan | Statement: [Calhoun County, Michigan, containsTownship, Lee Township, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Township, Michigan Context triple: [Calhoun County, Michigan, containsTownship, Lee Township, Michigan]
-
A.
Green Township, Michigan
Green Township, Michigan is a civil township located in Mecosta County in the U.S. state of Michigan.
-
B.
Wheatland Township, Michigan
Wheatland Township, Michigan is a rural civil township located within Mecosta County in the U.S. state of Michigan.
-
C.
Watertown Township, Michigan
Watertown Township, Michigan is a civil township located in Clinton County that forms part of the Lansing–East Lansing metropolitan area.
-
D.
Newton Township, Michigan
Newton Township, Michigan is a small civil township located in Calhoun County in the south-central region of the state.
-
E.
Osceola Township, Michigan
Osceola Township, Michigan is a rural township in Osceola County known for its natural landscapes and recreational opportunities along the Muskegon River.
- 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: Lee Township, Michigan Triple: [Calhoun County, Michigan, containsTownship, Lee Township, Michigan]
Generated description
Lee Township, Michigan is a small civil township located within Calhoun County in the U.S. state of Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Township, Michigan Target entity description: Lee Township, Michigan is a small civil township located within Calhoun County in the U.S. state of Michigan.
-
A.
Green Township, Michigan
Green Township, Michigan is a civil township located in Mecosta County in the U.S. state of Michigan.
-
B.
Wheatland Township, Michigan
Wheatland Township, Michigan is a rural civil township located within Mecosta County in the U.S. state of Michigan.
-
C.
Watertown Township, Michigan
Watertown Township, Michigan is a civil township located in Clinton County that forms part of the Lansing–East Lansing metropolitan area.
-
D.
Newton Township, Michigan
Newton Township, Michigan is a small civil township located in Calhoun County in the south-central region of the state.
-
E.
Osceola Township, Michigan
Osceola Township, Michigan is a rural township in Osceola County known for its natural landscapes and recreational opportunities along the Muskegon River.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb76fb58819088e5a0101143a401 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe0cb9348190bbdadac6343b29c2 |
completed | May 8, 2026, 3:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfec4428c81909bf3dac434700a40 |
completed | May 8, 2026, 3:18 p.m. |
Created at: April 10, 2026, 1:24 a.m.