Triple
T9582725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Erbach |
E231211
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Erbach-Fürstenau
Erbach-Fürstenau is a locality historically associated with the former County of Erbach in what is now the German state of Hesse.
|
E814294
|
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: Erbach-Fürstenau | Statement: [County of Erbach, hasSubdivision, Erbach-Fürstenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erbach-Fürstenau Context triple: [County of Erbach, hasSubdivision, Erbach-Fürstenau]
-
A.
Eberbach
Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
-
B.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
C.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
-
D.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
E.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
- 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: Erbach-Fürstenau Triple: [County of Erbach, hasSubdivision, Erbach-Fürstenau]
Generated description
Erbach-Fürstenau is a locality historically associated with the former County of Erbach in what is now the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erbach-Fürstenau Target entity description: Erbach-Fürstenau is a locality historically associated with the former County of Erbach in what is now the German state of Hesse.
-
A.
Eberbach
Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
-
B.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
C.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
-
D.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
E.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cd59008190888eb11f00f61994 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190dd38e48190aef80bb7a153bff6 |
completed | April 4, 2026, 10:29 p.m. |
| NEDg | Description generation | batch_69d1916be2d48190b8f7be1c2bba931a |
completed | April 4, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d191eafbb08190a456ffec158c5a14 |
completed | April 4, 2026, 10:34 p.m. |
Created at: March 30, 2026, 8:05 p.m.