Triple
T2665508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E55624
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Union Township |
E248686
|
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: Union Township | Statement: [Elizabeth, adjacentTo, Union Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Township Context triple: [Elizabeth, adjacentTo, Union Township]
-
A.
Union Township
chosen
Union Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
B.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
C.
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.
-
D.
Lawrence Township
Lawrence Township is a suburban municipality in Mercer County, New Jersey, known for its residential communities, shopping centers, and proximity to Princeton.
-
E.
Heath Township
Heath Township is a civil township located within Allegan County in the U.S. state of Michigan.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6775b008190a59e480516c3ef41 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:54 p.m.