Triple
T20499036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triesenberg |
E503251
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sücka
Sücka is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and traditional rural character.
|
E1434167
|
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: Sücka | Statement: [Triesenberg, contains, Sücka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sücka Context triple: [Triesenberg, contains, Sücka]
-
A.
Krostitz
Krostitz is a small municipality in the German state of Saxony, situated north of Leipzig and known for its regional brewery.
-
B.
Krompachy
Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
-
C.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
D.
Santruschitz
Santruschitz is the family name of Hermine "Miep" Santruschitz, better known as Miep Gies, one of the Dutch citizens who helped hide Anne Frank and her family during World War II.
-
E.
Stölzl
Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
- 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: Sücka Triple: [Triesenberg, contains, Sücka]
Generated description
Sücka is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sücka Target entity description: Sücka is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and traditional rural character.
-
A.
Krostitz
Krostitz is a small municipality in the German state of Saxony, situated north of Leipzig and known for its regional brewery.
-
B.
Krompachy
Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
-
C.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
D.
Santruschitz
Santruschitz is the family name of Hermine "Miep" Santruschitz, better known as Miep Gies, one of the Dutch citizens who helped hide Anne Frank and her family during World War II.
-
E.
Stölzl
Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893bd1c508190bbba38fb36650723 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894634f748190ae0a3be77125bf03 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08958072d08190a0e4ba12c7e550ea |
completed | May 16, 2026, 4:04 p.m. |
Created at: April 16, 2026, 11:35 a.m.