Triple
T36613098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner Sobek |
E903522
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
H16 house in Stuttgart
H16 house in Stuttgart is a minimalist, experimental residential building in Germany designed by engineer-architect Werner Sobek, showcasing advanced sustainable and lightweight construction techniques.
|
E2191724
|
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: H16 house in Stuttgart | Statement: [Werner Sobek, notableWork, H16 house in Stuttgart]
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: H16 house in Stuttgart Triple: [Werner Sobek, notableWork, H16 house in Stuttgart]
Generated description
H16 house in Stuttgart is a minimalist, experimental residential building in Germany designed by engineer-architect Werner Sobek, showcasing advanced sustainable and lightweight construction techniques.
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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c47e58848190acbe072f756fa7e9 |
completed | May 3, 2026, 9:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a095a0e8c8190948994f657545a83 |
completed | June 23, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_6a3a0b9836b88190905fe95fb2fbe0c5 |
completed | June 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a0e5b312c8190a05b3b1414c09245 |
completed | June 23, 2026, 4:40 a.m. |
Created at: May 3, 2026, 4:11 p.m.