Triple
T19262092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Township |
E481671
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Jackson Township |
—
|
NE NERFINISHED |
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: Jackson Township | Statement: [Dallas Township, adjacentTo, Jackson Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Township Context triple: [Dallas Township, adjacentTo, Jackson Township]
-
A.
Jackson Township
Jackson Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
B.
Jackson Township
Jackson Township is a civil township located in Allen County in the northeastern part of the U.S. state of Indiana.
-
C.
Jackson Township
Jackson Township is a municipal township located within Lebanon County in the Commonwealth of Pennsylvania, United States.
-
D.
Scott Township
Scott Township is a small municipality in northeastern Pennsylvania, known for its rural character and proximity to the Scranton metropolitan area.
-
E.
Scott Township
Scott Township is a suburban municipality in Allegheny County, Pennsylvania, located just southwest of Pittsburgh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:28 p.m.