Triple

T26288155
Position Surface form Disambiguated ID Type / Status
Subject Autumn campaign of 1813 E661194 entity
Predicate hasPart P35 FINISHED
Object Battle of Großbeeren
The Battle of Großbeeren was a significant 1813 engagement of the War of the Sixth Coalition in which Prussian-led Allied forces halted a French advance on Berlin.
E180173 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: Battle of Großbeeren | Statement: [Autumn campaign of 1813, hasPart, Battle of Großbeeren]
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: Battle of Großbeeren
Triple: [Autumn campaign of 1813, hasPart, Battle of Großbeeren]
Generated description
The Battle of Großbeeren was a significant 1813 engagement of the War of the Sixth Coalition in which Prussian-led Allied forces halted a French advance on Berlin.

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_69ee812bbd448190be4d7478b057990a completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60e790adc8190854b8171fc7523dc completed May 2, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12297125408190b7b151c4ee600bf3 completed May 23, 2026, 10:25 p.m.
NEDg Description generation batch_6a122a8570488190a59ab7f4422cc63d completed May 23, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a122af21ba88190b6779cd1c12861a1 completed May 23, 2026, 10:32 p.m.
Created at: April 26, 2026, 10:06 p.m.