Triple
T561509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine |
E13461
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object |
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
|
E80553
|
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: Ruhr | Statement: [Rhine, majorTributary, Ruhr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruhr Context triple: [Rhine, majorTributary, Ruhr]
-
A.
Rhens
Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
-
B.
Rhine
The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
-
C.
Weser
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
D.
Elbe
The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
-
E.
Neckar
The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
- 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: Ruhr Triple: [Rhine, majorTributary, Ruhr]
Generated description
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruhr Target entity description: The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
-
A.
Rhens
Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
-
B.
Rhine
The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
-
C.
Weser
The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
-
D.
Elbe
The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
-
E.
Neckar
The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499e2795c8190903240e79964156d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a577891a148190ae1364191f7f63bb |
completed | March 2, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69a57a2852c881909f5623847e2fd85d |
completed | March 2, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a57a82f3248190b3eced48edf7a4da |
completed | March 2, 2026, 11:54 a.m. |
Created at: March 1, 2026, 7:32 p.m.