Triple

T17817598
Position Surface form Disambiguated ID Type / Status
Subject Battle of Dobro Pole E444886 entity
Predicate commander P1061 FINISHED
Object Friedrich von Scholtz
Friedrich von Scholtz was a German general of World War I who held senior command positions on the Macedonian front, including leadership roles in major engagements such as the Battle of Dobro Pole.
E1672269 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: Friedrich von Scholtz | Statement: [Battle of Dobro Pole, commander, Friedrich von Scholtz]
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: Friedrich von Scholtz
Triple: [Battle of Dobro Pole, commander, Friedrich von Scholtz]
Generated description
Friedrich von Scholtz was a German general of World War I who held senior command positions on the Macedonian front, including leadership roles in major engagements such as the Battle of Dobro Pole.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48880457c81908214741d6cd7a1ee completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10678848cc8190989f1a05f862fd6d completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a1069760058819089d45fe0d4f630b8 completed May 22, 2026, 2:34 p.m.
NED2 Entity disambiguation (via description) batch_6a106a0c2d7881908ca2ada25da19784 completed May 22, 2026, 2:37 p.m.
Created at: April 10, 2026, 10:14 a.m.