Triple
T35574789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilvesheim |
E1028044
|
entity |
| Predicate | hasSpecialSchool |
P113
|
FINISHED |
| Object |
Staatliche Schule für Blinde und Sehbehinderte Ilvesheim
The Staatliche Schule für Blinde und Sehbehinderte Ilvesheim is a specialized German state school that provides education, support, and rehabilitation services for blind and visually impaired children and young people.
|
E2145369
|
NE FINISHED |
How this triple was built (2 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: Staatliche Schule für Blinde und Sehbehinderte Ilvesheim | Statement: [Ilvesheim, hasSpecialSchool, Staatliche Schule für Blinde und Sehbehinderte Ilvesheim]
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: Staatliche Schule für Blinde und Sehbehinderte Ilvesheim Triple: [Ilvesheim, hasSpecialSchool, Staatliche Schule für Blinde und Sehbehinderte Ilvesheim]
Generated description
The Staatliche Schule für Blinde und Sehbehinderte Ilvesheim is a specialized German state school that provides education, support, and rehabilitation services for blind and visually impaired children and young people.
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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79e56a2b4819092e792aaf736dbd3 |
completed | May 3, 2026, 7:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3853061b108190af75da380bb560c8 |
completed | June 21, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_6a3853b7ca0c8190af2d3b52e69f05ed |
completed | June 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38546765988190bba6f0bc046274df |
completed | June 21, 2026, 9:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.