Triple
T21728212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neunkirchen District |
E536328
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Seebenstein
Seebenstein is a small Austrian municipality in the state of Lower Austria, known for its historic Seebenstein Castle and scenic location near the eastern edge of the Alps.
|
E1500747
|
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: Seebenstein | Statement: [Neunkirchen District, hasMunicipality, Seebenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seebenstein Context triple: [Neunkirchen District, hasMunicipality, Seebenstein]
-
A.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
-
B.
Syrgenstein
Syrgenstein is a small municipality in the Bavarian region of southern Germany.
-
C.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
D.
Eichelbaum
Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
-
E.
Seewald
Seewald is a rural municipality in the Black Forest region of Baden-Württemberg, Germany, known for its forests, lakes, and outdoor recreation.
- 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: Seebenstein Triple: [Neunkirchen District, hasMunicipality, Seebenstein]
Generated description
Seebenstein is a small Austrian municipality in the state of Lower Austria, known for its historic Seebenstein Castle and scenic location near the eastern edge of the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seebenstein Target entity description: Seebenstein is a small Austrian municipality in the state of Lower Austria, known for its historic Seebenstein Castle and scenic location near the eastern edge of the Alps.
-
A.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
-
B.
Syrgenstein
Syrgenstein is a small municipality in the Bavarian region of southern Germany.
-
C.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
D.
Eichelbaum
Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
-
E.
Seewald
Seewald is a rural municipality in the Black Forest region of Baden-Württemberg, Germany, known for its forests, lakes, and outdoor recreation.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd03c6ec8190a2f0445c1f3a45b4 |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a36686fb48190a0fab3e5e4f8a39d |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a374aac808190a26c6726355aba53 |
completed | May 17, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37f8c09c8190a92f78909cfbc6e7 |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:48 p.m.