Triple
T5178162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorr Township |
E116850
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Monterey Township |
E136276
|
NE FINISHED |
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: Monterey Township | Statement: [Dorr Township, adjacentTo, Monterey Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monterey Township Context triple: [Dorr Township, adjacentTo, Monterey Township]
-
A.
Monterey Township
chosen
Monterey Township is a small rural civil township located within Allegan County in the U.S. state of Michigan.
-
B.
Milton Township
Milton Township is a civil township in DuPage County, Illinois, encompassing communities such as Wheaton and Glen Ellyn in the Chicago metropolitan area.
-
C.
Meridian Township
Meridian Township is a charter township in Ingham County, Michigan, known as a suburban community in the Greater Lansing metropolitan area.
-
D.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
E.
Kingston Township
Kingston Township is a municipal township located in northeastern Pennsylvania, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7976339481909ece900de22064f2 |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4110cbbc8190858ad55ac501a034 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 1:45 p.m.