Triple
T16230741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carbon County |
E393972
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kidder Township
Kidder Township is a rural municipality in northeastern Pennsylvania known for its forests, lakes, and outdoor recreation areas within the Pocono Mountains region.
|
E1200580
|
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: Kidder Township | Statement: [Carbon County, contains, Kidder Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidder Township Context triple: [Carbon County, contains, Kidder Township]
-
A.
Wilkins Township
Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
-
B.
James Township
James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
C.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
D.
Kearney Township
Kearney Township is a civil township located in Antrim County in the northern Lower Peninsula of Michigan, United States.
-
E.
March Township
March Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Kanata and subsequently amalgamated into the City of Ottawa.
- 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: Kidder Township Triple: [Carbon County, contains, Kidder Township]
Generated description
Kidder Township is a rural municipality in northeastern Pennsylvania known for its forests, lakes, and outdoor recreation areas within the Pocono Mountains region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kidder Township Target entity description: Kidder Township is a rural municipality in northeastern Pennsylvania known for its forests, lakes, and outdoor recreation areas within the Pocono Mountains region.
-
A.
Wilkins Township
Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
-
B.
James Township
James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
C.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
D.
Kearney Township
Kearney Township is a civil township located in Antrim County in the northern Lower Peninsula of Michigan, United States.
-
E.
March Township
March Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Kanata and subsequently amalgamated into the City of Ottawa.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29438c81909aa2724cc47bb959 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007a0ab08819082aea4c312c9ffc7 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00098ea3e48190b0744f1eafab9ce2 |
completed | May 10, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0009fb40a48190b82f6de80226d306 |
completed | May 10, 2026, 4:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.