Triple
T11228223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antrim County |
E265748
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kearney Township
Kearney Township is a civil township located in Antrim County in the northern Lower Peninsula of Michigan, United States.
|
E918551
|
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: Kearney Township | Statement: [Antrim County, contains, Kearney Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kearney Township Context triple: [Antrim County, contains, Kearney Township]
-
A.
Kerns Township
Kerns Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
B.
Wilkins Township
Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
-
C.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
D.
Wheatland Township
Wheatland Township is a local civil township that serves as the community and administrative area encompassing the Wheatland Township Library.
-
E.
Casey Township
Casey Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
- 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: Kearney Township Triple: [Antrim County, contains, Kearney Township]
Generated description
Kearney Township is a civil township located in Antrim County in the northern Lower Peninsula of Michigan, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kearney Township Target entity description: Kearney Township is a civil township located in Antrim County in the northern Lower Peninsula of Michigan, United States.
-
A.
Kerns Township
Kerns Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
B.
Wilkins Township
Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
-
C.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
D.
Wheatland Township
Wheatland Township is a local civil township that serves as the community and administrative area encompassing the Wheatland Township Library.
-
E.
Casey Township
Casey Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5256cb7c8819084d8010c2f3e9d94 |
completed | April 19, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69e52a78951c8190923711067cf4e7e5 |
completed | April 19, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:30 p.m.