Triple
T9119602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auglaize County |
E218809
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
New Bremen
New Bremen is a small village in western Ohio known for its German heritage and historic canal-era roots.
|
E779145
|
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: New Bremen | Statement: [Auglaize County, hasSettlement, New Bremen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Bremen Context triple: [Auglaize County, hasSettlement, New Bremen]
-
A.
Binghamville
Binghamville is a small community or locality within the town of Fairfield in northern Vermont, United States.
-
B.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
C.
Winterset
Winterset is a small historic city in Madison County, Iowa, best known as the birthplace of John Wayne and for its iconic covered bridges featured in "The Bridges of Madison County."
-
D.
Brunswick-Bevern
Brunswick-Bevern was a German ducal principality in the Holy Roman Empire, governed by a cadet branch of the House of Welf centered around the town of Bevern.
-
E.
Bremen, Ohio
Bremen, Ohio is a small village in Fairfield County known for its rural Midwestern character and tight-knit community.
- 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: New Bremen Triple: [Auglaize County, hasSettlement, New Bremen]
Generated description
New Bremen is a small village in western Ohio known for its German heritage and historic canal-era roots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New Bremen Target entity description: New Bremen is a small village in western Ohio known for its German heritage and historic canal-era roots.
-
A.
Binghamville
Binghamville is a small community or locality within the town of Fairfield in northern Vermont, United States.
-
B.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
C.
Winterset
Winterset is a small historic city in Madison County, Iowa, best known as the birthplace of John Wayne and for its iconic covered bridges featured in "The Bridges of Madison County."
-
D.
Brunswick-Bevern
Brunswick-Bevern was a German ducal principality in the Holy Roman Empire, governed by a cadet branch of the House of Welf centered around the town of Bevern.
-
E.
Bremen, Ohio
Bremen, Ohio is a small village in Fairfield County known for its rural Midwestern character and tight-knit community.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030867d248190ad5b5ba3047426bb |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d0316f47c88190920843b469d15069 |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d032778adc8190a087497507a6e1ca |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:17 p.m.