Triple
T9353303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perry County, Indiana |
E225070
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Apalona, Indiana
Apalona, Indiana is an unincorporated rural community located in Perry County in the southern part of the state.
|
E837424
|
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: Apalona, Indiana | Statement: [Perry County, Indiana, hasSettlement, Apalona, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apalona, Indiana Context triple: [Perry County, Indiana, hasSettlement, Apalona, Indiana]
-
A.
Osceola, Indiana
Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
-
B.
Wanatah, Indiana
Wanatah, Indiana is a small town in northwestern Indiana known for its rural character and annual fall harvest festival.
-
C.
Majenica, Indiana
Majenica, Indiana is an unincorporated rural community located in Huntington County in the U.S. state of Indiana.
-
D.
St. John, Indiana
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
-
E.
Pawnee, Indiana
Pawnee, Indiana is the fictional Midwestern town that serves as the primary setting for the television comedy series "Parks and Recreation."
- 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: Apalona, Indiana Triple: [Perry County, Indiana, hasSettlement, Apalona, Indiana]
Generated description
Apalona, Indiana is an unincorporated rural community located in Perry County in the southern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apalona, Indiana Target entity description: Apalona, Indiana is an unincorporated rural community located in Perry County in the southern part of the state.
-
A.
Osceola, Indiana
Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
-
B.
Wanatah, Indiana
Wanatah, Indiana is a small town in northwestern Indiana known for its rural character and annual fall harvest festival.
-
C.
Majenica, Indiana
Majenica, Indiana is an unincorporated rural community located in Huntington County in the U.S. state of Indiana.
-
D.
St. John, Indiana
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
-
E.
Pawnee, Indiana
Pawnee, Indiana is the fictional Midwestern town that serves as the primary setting for the television comedy series "Parks and Recreation."
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9515008190b01fbb43d673de2a |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2817858008190b150417f9ef59b48 |
completed | April 5, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69d2840bb2e881908a7e7a40229769e0 |
completed | April 5, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2847c9bb881908a6330dfe2c2c1a4 |
completed | April 5, 2026, 3:49 p.m. |
Created at: March 30, 2026, 7:41 p.m.