Triple
T16593802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfinz |
E403155
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Söllingen
Söllingen is a village in the municipality of Pfinztal in Baden-Württemberg, Germany, situated in the Pfinz river valley near Karlsruhe.
|
E1258204
|
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: Söllingen | Statement: [Pfinz, flowsThrough, Söllingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Söllingen Context triple: [Pfinz, flowsThrough, Söllingen]
-
A.
Wülscheid
Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, Germany.
-
B.
Geilenkirchen
Geilenkirchen is a town in western Germany best known for hosting a major NATO airbase that serves as the main hub for the alliance’s Airborne Early Warning and Control (AWACS) operations.
-
C.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
D.
Bromskirchen
Bromskirchen is a small municipality in the Waldeck-Frankenberg district of Hesse, Germany, near the border with North Rhine-Westphalia.
-
E.
Waldbröl
Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land 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: Söllingen Triple: [Pfinz, flowsThrough, Söllingen]
Generated description
Söllingen is a village in the municipality of Pfinztal in Baden-Württemberg, Germany, situated in the Pfinz river valley near Karlsruhe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Söllingen Target entity description: Söllingen is a village in the municipality of Pfinztal in Baden-Württemberg, Germany, situated in the Pfinz river valley near Karlsruhe.
-
A.
Wülscheid
Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, Germany.
-
B.
Geilenkirchen
Geilenkirchen is a town in western Germany best known for hosting a major NATO airbase that serves as the main hub for the alliance’s Airborne Early Warning and Control (AWACS) operations.
-
C.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
-
D.
Bromskirchen
Bromskirchen is a small municipality in the Waldeck-Frankenberg district of Hesse, Germany, near the border with North Rhine-Westphalia.
-
E.
Waldbröl
Waldbröl is a small town in North Rhine-Westphalia, Germany, known for its rural setting in the Bergisches Land 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a016b8609dc8190bfd3e1b6ff715d65 |
completed | May 11, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016c5018e48190974c124c3433bcc6 |
completed | May 11, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:16 a.m.