Triple
T11439567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thalheim (Erzgebirge) |
E271105
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Thalheim
Thalheim is a small town in the Ore Mountains (Erzgebirge) region of Saxony, Germany, known for its traditional textile and woodworking industries.
|
E504803
|
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: Thalheim | Statement: [Thalheim (Erzgebirge), hasNameInLanguage, Thalheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalheim Context triple: [Thalheim (Erzgebirge), hasNameInLanguage, Thalheim]
-
A.
Thalheim
Thalheim is a town in the German state of Saxony-Anhalt that was incorporated into the larger city of Bitterfeld-Wolfen.
-
B.
Stockheim
Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
C.
Rehling
Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Thalgau
Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
-
E.
Lealholm
Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
- 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: Thalheim Triple: [Thalheim (Erzgebirge), hasNameInLanguage, Thalheim]
Generated description
Thalheim is a small town in the Ore Mountains (Erzgebirge) region of Saxony, Germany, known for its traditional textile and woodworking industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thalheim Target entity description: Thalheim is a small town in the Ore Mountains (Erzgebirge) region of Saxony, Germany, known for its traditional textile and woodworking industries.
-
A.
Thalheim
chosen
Thalheim is a town in the German state of Saxony-Anhalt that was incorporated into the larger city of Bitterfeld-Wolfen.
-
B.
Stockheim
Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
C.
Rehling
Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Thalgau
Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
-
E.
Lealholm
Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
- F. None of above.
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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d39554c48190969cc0ebd4dbc368 |
completed | April 20, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69e5d91b047c81909ea4c7f114bfbba5 |
completed | April 20, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5e2de4cd081908d30c44853565029 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.