Triple
T6119439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiers |
E136444
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
|
E569992
|
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: Schier (German) | Statement: [Chiers, alsoKnownAs, Schier (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schier (German) Context triple: [Chiers, alsoKnownAs, Schier (German)]
-
A.
Schwäbische Rezat
The Schwäbische Rezat is a river in the German state of Bavaria that flows through the Franconian region, including the town of Weißenburg in Bayern.
-
B.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
C.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
D.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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: Schier (German) Triple: [Chiers, alsoKnownAs, Schier (German)]
Generated description
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schier (German) Target entity description: Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
A.
Schwäbische Rezat
The Schwäbische Rezat is a river in the German state of Bavaria that flows through the Franconian region, including the town of Weißenburg in Bayern.
-
B.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
C.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
D.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bee12488190ab217e8956f2f1f3 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1257153748190947cd80589620f12 |
completed | March 23, 2026, 11:35 a.m. |
| NEDg | Description generation | batch_69c129464108819086b1a3991ef4c9e1 |
completed | March 23, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129d7cd348190963e1a266d5e88ae |
completed | March 23, 2026, 11:53 a.m. |
Created at: March 22, 2026, 4:14 p.m.