Triple
T22067197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nastätten |
E545303
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object |
Grundschule Nastätten
Grundschule Nastätten is a primary school located in the town of Nastätten in Germany, providing elementary education to local children.
|
E1517131
|
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: Grundschule Nastätten | Statement: [Nastätten, hasEducationalInstitution, Grundschule Nastätten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grundschule Nastätten Context triple: [Nastätten, hasEducationalInstitution, Grundschule Nastätten]
-
A.
Gerstetten
Gerstetten is a municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
-
B.
Söhnstetten
Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
-
C.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
D.
Hohenstein-Ernstthal
Hohenstein-Ernstthal is a small town in the German state of Saxony, known as the birthplace of adventure writer Karl May.
-
E.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
- 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: Grundschule Nastätten Triple: [Nastätten, hasEducationalInstitution, Grundschule Nastätten]
Generated description
Grundschule Nastätten is a primary school located in the town of Nastätten in Germany, providing elementary education to local children.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grundschule Nastätten Target entity description: Grundschule Nastätten is a primary school located in the town of Nastätten in Germany, providing elementary education to local children.
-
A.
Gerstetten
Gerstetten is a municipality in the Heidenheim district of the state of Baden-Württemberg in southern Germany.
-
B.
Söhnstetten
Söhnstetten is a village in the Heidenheim district of Baden-Württemberg, Germany, known as a part of the municipality of Steinheim am Albuch on the Swabian Jura.
-
C.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
D.
Hohenstein-Ernstthal
Hohenstein-Ernstthal is a small town in the German state of Saxony, known as the birthplace of adventure writer Karl May.
-
E.
Schönteichen
Schönteichen is a small municipality in the Free State of Saxony in eastern Germany.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12884937c819095d3af69123fa2cb |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80af70208190b13181f4be83f876 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a8187516481909d8075dfc025614e |
completed | May 18, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a826075988190a7148ded16f779c0 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 8:27 p.m.