Triple
T28152866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl von Le Suire |
E714666
|
entity |
| Predicate | commanded |
P2333
|
FINISHED |
| Object |
117th Jäger Division
The 117th Jäger Division was a light infantry division of the German Wehrmacht in World War II, noted for its operations in the Balkans and involvement in war crimes against civilians.
|
E1804700
|
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: 117th Jäger Division | Statement: [Karl von Le Suire, commanded, 117th Jäger Division]
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: 117th Jäger Division Triple: [Karl von Le Suire, commanded, 117th Jäger Division]
Generated description
The 117th Jäger Division was a light infantry division of the German Wehrmacht in World War II, noted for its operations in the Balkans and involvement in war crimes against civilians.
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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f641789c90819081eb1c857d032025 |
completed | May 2, 2026, 6:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15d7af615081908e8d3abbc744ff92 |
completed | May 26, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a15d8f3f6ac819089bad6bb160d76b6 |
completed | May 26, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15d9c2a704819095e2c65e42d63a17 |
completed | May 26, 2026, 5:34 p.m. |
Created at: April 27, 2026, 10 p.m.