Triple
T9723676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zweibrücken |
E235546
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Schwarzbach
Schwarzbach is a river in southwestern Germany that flows through the town of Zweibrücken in the state of Rhineland-Palatinate.
|
E881725
|
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: Schwarzbach | Statement: [Zweibrücken, river, Schwarzbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwarzbach Context triple: [Zweibrücken, river, Schwarzbach]
-
A.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
-
B.
Sulzbach
Sulzbach is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
C.
Alpirsbach
Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
-
D.
Eckersbach
Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
-
E.
Schwarzwasserbach
Schwarzwasserbach is a small river or stream in the German state of Baden-Württemberg that flows through the town of Sindelfingen.
- 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: Schwarzbach Triple: [Zweibrücken, river, Schwarzbach]
Generated description
Schwarzbach is a river in southwestern Germany that flows through the town of Zweibrücken in the state of Rhineland-Palatinate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwarzbach Target entity description: Schwarzbach is a river in southwestern Germany that flows through the town of Zweibrücken in the state of Rhineland-Palatinate.
-
A.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
-
B.
Sulzbach
Sulzbach is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
C.
Alpirsbach
Alpirsbach is a small town in Germany’s Black Forest region, known for its historic Benedictine monastery and traditional Alpirsbacher Klosterbräu brewery.
-
D.
Eckersbach
Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
-
E.
Schwarzwasserbach
Schwarzwasserbach is a small river or stream in the German state of Baden-Württemberg that flows through the town of Sindelfingen.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e77096481908ffd315fecb1d5ec |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6bb34548190aac9d2af05477750 |
completed | April 12, 2026, 3:14 p.m. |
| NEDg | Description generation | batch_69dbbb8b0e5c8190afa9aaa134bcebf2 |
completed | April 12, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbbc3ce1008190a16d442a22d45967 |
completed | April 12, 2026, 3:37 p.m. |
Created at: March 30, 2026, 8:20 p.m.