Triple
T5744426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altmühl |
E126692
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object |
Schambach
Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
|
E580785
|
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: Schambach | Statement: [Altmühl, hasLeftTributary, Schambach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schambach Context triple: [Altmühl, hasLeftTributary, Schambach]
-
A.
Korbach
Korbach is a historic town in the German state of Hesse, known as the district seat of Waldeck-Frankenberg and for its well-preserved medieval old town.
-
B.
Langenau
Langenau is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its historic center and proximity to the Swabian Jura.
-
C.
Suhl
Suhl is a city in central Germany known historically as a center of firearms manufacturing and located in the federal state of Thuringia.
-
D.
Borgholzhausen
Borgholzhausen is a small town in North Rhine-Westphalia, Germany, known for its location on the Teutoburg Forest and its historical ties to the former County of Ravensberg.
-
E.
Gevelsberg
Gevelsberg is a town in North Rhine-Westphalia, Germany, situated in the Ennepe-Ruhr district within the Ruhr metropolitan region.
- 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: Schambach Triple: [Altmühl, hasLeftTributary, Schambach]
Generated description
Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schambach Target entity description: Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
-
A.
Korbach
Korbach is a historic town in the German state of Hesse, known as the district seat of Waldeck-Frankenberg and for its well-preserved medieval old town.
-
B.
Langenau
Langenau is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its historic center and proximity to the Swabian Jura.
-
C.
Suhl
Suhl is a city in central Germany known historically as a center of firearms manufacturing and located in the federal state of Thuringia.
-
D.
Borgholzhausen
Borgholzhausen is a small town in North Rhine-Westphalia, Germany, known for its location on the Teutoburg Forest and its historical ties to the former County of Ravensberg.
-
E.
Gevelsberg
Gevelsberg is a town in North Rhine-Westphalia, Germany, situated in the Ennepe-Ruhr district within the Ruhr metropolitan region.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025883b608190b21523da2afde218 |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24381aff48190980ada94ee95593e |
completed | March 24, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69c4fb66b8e8819090524d1ef12688a7 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc3065bc81908d95fbd3d4655c76 |
completed | March 26, 2026, 9:28 a.m. |
Created at: March 22, 2026, 3:48 p.m.