Triple
T10943531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adams County, Indiana |
E258534
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Berne, Indiana
Berne, Indiana is a small city in northeastern Indiana known for its Swiss heritage and Amish and Mennonite communities.
|
E939774
|
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: Berne, Indiana | Statement: [Adams County, Indiana, hasTown, Berne, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berne, Indiana Context triple: [Adams County, Indiana, hasTown, Berne, Indiana]
-
A.
Bremen, Indiana
Bremen, Indiana is a small Midwestern town in northern Indiana known for its agricultural roots, tight-knit community, and location within Marshall County.
-
B.
Bedford, Indiana
Bedford, Indiana is a small city in southern Indiana renowned as a major center of the Indiana limestone industry.
-
C.
Montpelier, Indiana
Montpelier, Indiana is a small city in Blackford County known historically as the birthplace of Francis Avent Gumm, the father of actress Judy Garland.
-
D.
Rochester, Indiana
Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
-
E.
La Paz, Indiana
La Paz, Indiana is a small Midwestern town located in northern Indiana within Marshall County.
- 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: Berne, Indiana Triple: [Adams County, Indiana, hasTown, Berne, Indiana]
Generated description
Berne, Indiana is a small city in northeastern Indiana known for its Swiss heritage and Amish and Mennonite communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berne, Indiana Target entity description: Berne, Indiana is a small city in northeastern Indiana known for its Swiss heritage and Amish and Mennonite communities.
-
A.
Bremen, Indiana
Bremen, Indiana is a small Midwestern town in northern Indiana known for its agricultural roots, tight-knit community, and location within Marshall County.
-
B.
Bedford, Indiana
Bedford, Indiana is a small city in southern Indiana renowned as a major center of the Indiana limestone industry.
-
C.
Montpelier, Indiana
Montpelier, Indiana is a small city in Blackford County known historically as the birthplace of Francis Avent Gumm, the father of actress Judy Garland.
-
D.
Rochester, Indiana
Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
-
E.
La Paz, Indiana
La Paz, Indiana is a small Midwestern town located in northern Indiana within Marshall County.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c3fb388190a598f89ae59a7b51 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1243b14081909d07ab0ebb32cc68 |
completed | April 27, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:23 p.m.