Triple
T15864474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwickau district |
E384673
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wilkau-Haßlau
Wilkau-Haßlau is a small town in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
|
E1208977
|
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: Wilkau-Haßlau | Statement: [Zwickau district, contains, Wilkau-Haßlau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilkau-Haßlau Context triple: [Zwickau district, contains, Wilkau-Haßlau]
-
A.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
B.
Oberschwarzach
Oberschwarzach is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
C.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
-
D.
Rottach-Egern
Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
-
E.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
- 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: Wilkau-Haßlau Triple: [Zwickau district, contains, Wilkau-Haßlau]
Generated description
Wilkau-Haßlau is a small town in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilkau-Haßlau Target entity description: Wilkau-Haßlau is a small town in the Free State of Saxony in eastern Germany, situated near the city of Zwickau.
-
A.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
B.
Oberschwarzach
Oberschwarzach is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
C.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
-
D.
Rottach-Egern
Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
-
E.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555e4ee48190a3b27b4ab9bdb1c8 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d966ffc8190aa0d9d3abf8ad593 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 4:50 a.m.