Triple
T19557929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Slocum State Park |
E489365
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dallas 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: Dallas Township | Statement: [Frances Slocum State Park, locatedIn, Dallas Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dallas Township Context triple: [Frances Slocum State Park, locatedIn, Dallas Township]
-
A.
Dallas Township
Dallas Township is a civil township located in Michigan, United States.
-
B.
Dallas Township
chosen
Dallas Township is a suburban municipality in northeastern Pennsylvania, known as part of the Back Mountain region near the city of Wilkes-Barre.
-
C.
Newton Township
Newton Township is a small, predominantly rural municipality located in Lackawanna County in northeastern Pennsylvania.
-
D.
Dallas Township, Michigan
Dallas Township, Michigan is a small rural civil township located within Clinton County in the U.S. state of Michigan.
-
E.
Richland Township
Richland Township is a local governmental subdivision and rural community area located within the U.S. state of Minnesota.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.