Triple
T13113349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selketal |
E311029
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Straßberg
Straßberg is a village in the Harz region of Saxony-Anhalt, Germany, known for its scenic surroundings and historical mining heritage.
|
E1074804
|
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: Straßberg | Statement: [Selketal, hasSettlement, Straßberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Straßberg Context triple: [Selketal, hasSettlement, Straßberg]
-
A.
Raichberg
Raichberg is a prominent mountain in southwestern Germany known for its scenic views and hiking opportunities in the Swabian Jura region.
-
B.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
C.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
D.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
E.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
- 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: Straßberg Triple: [Selketal, hasSettlement, Straßberg]
Generated description
Straßberg is a village in the Harz region of Saxony-Anhalt, Germany, known for its scenic surroundings and historical mining heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Straßberg Target entity description: Straßberg is a village in the Harz region of Saxony-Anhalt, Germany, known for its scenic surroundings and historical mining heritage.
-
A.
Raichberg
Raichberg is a prominent mountain in southwestern Germany known for its scenic views and hiking opportunities in the Swabian Jura region.
-
B.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
C.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
D.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
-
E.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc311b1248190b9ceb2854e93171a |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc51585608190817e9a80666b7740 |
completed | May 6, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc57bf4188190aace2c976d842b43 |
completed | May 6, 2026, 10:49 p.m. |
Created at: April 9, 2026, 9:06 p.m.