Triple

T21305874
Position Surface form Disambiguated ID Type / Status
Subject Battle of Palestro E525197 entity
Predicate commander P1061 FINISHED
Object Friedrich Zobel
Friedrich Zobel was an Austrian military officer best known for commanding imperial forces during the Second Italian War of Independence, including at the Battle of Palestro in 1859.
E1668052 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 Zobel | Statement: [Battle of Palestro, commander, Friedrich Zobel]
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 Zobel
Triple: [Battle of Palestro, commander, Friedrich Zobel]
Generated description
Friedrich Zobel was an Austrian military officer best known for commanding imperial forces during the Second Italian War of Independence, including at the Battle of Palestro in 1859.

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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa3f90481909b212bdbf00c2bb0 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105ca8a5248190a6f30bfab3aaec80 completed May 22, 2026, 1:39 p.m.
NEDg Description generation batch_6a105e52d9fc8190b22dd25b9cec720b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105f44a8408190b02fe5f557ea43c1 completed May 22, 2026, 1:51 p.m.
Created at: April 16, 2026, 4:05 p.m.