Triple

T32902177
Position Surface form Disambiguated ID Type / Status
Subject Hans Sachs E841640 entity
Predicate educatedAt P5 FINISHED
Object Nuremberg Latin school
The Nuremberg Latin school was a humanist-oriented educational institution in Nuremberg known for providing classical Latin instruction to future scholars, clergy, and notable figures such as Hans Sachs during the late medieval and early modern periods.
E2028238 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: Nuremberg Latin school | Statement: [Hans Sachs, educatedAt, Nuremberg Latin school]
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: Nuremberg Latin school
Triple: [Hans Sachs, educatedAt, Nuremberg Latin school]
Generated description
The Nuremberg Latin school was a humanist-oriented educational institution in Nuremberg known for providing classical Latin instruction to future scholars, clergy, and notable figures such as Hans Sachs during the late medieval and early modern periods.

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_69f34946a5208190bbd79f0fec4323bd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d079f6788190949020888799c0a5 completed May 3, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c692d8d481909f05bf78f4f1a6e7 completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c96f0fd0819096030526d919c075 completed June 19, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_6a34ca127afc8190b1151128d931635e completed June 19, 2026, 4:48 a.m.
Created at: May 1, 2026, 1:19 a.m.