Triple

T24437672
Position Surface form Disambiguated ID Type / Status
Subject Thurn und Taxis family E616168 entity
Predicate notableMember P10 FINISHED
Object Franz von Taxis
Franz von Taxis was a pioneering 15th–16th century postal entrepreneur credited with organizing one of Europe’s first modern postal systems for the Habsburgs, laying the foundation for the Thurn und Taxis postal dynasty.
E1780538 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: Franz von Taxis | Statement: [Thurn und Taxis family, notableMember, Franz von Taxis]
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: Franz von Taxis
Triple: [Thurn und Taxis family, notableMember, Franz von Taxis]
Generated description
Franz von Taxis was a pioneering 15th–16th century postal entrepreneur credited with organizing one of Europe’s first modern postal systems for the Habsburgs, laying the foundation for the Thurn und Taxis postal dynasty.

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_69e2d7ec44b081909ccaf1f3bbec0641 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f297881fa08190b82bdc5ebeae96f7 completed April 29, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0a457bc8190b2c8354964c26737 completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d18a985c819080daa18aa946feaa completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d28db59c8190a9141f9e352f19b4 completed May 24, 2026, 10:27 a.m.
Created at: April 18, 2026, 2:16 a.m.