Triple

T19306091
Position Surface form Disambiguated ID Type / Status
Subject Helmstedt E482831 entity
Predicate hasFormerUniversity P9419 FINISHED
Object University of Helmstedt
The University of Helmstedt was an early modern German university, founded in 1576 in the Duchy of Brunswick-Lüneburg, known as one of northern Germany’s leading Protestant centers of learning until its closure in 1810.
 E1689462 NE FINISHED

How this triple was built (3 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: University of Helmstedt | Statement: [Helmstedt, hasFormerUniversity, University of Helmstedt]
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: University of Helmstedt
Triple: [Helmstedt, hasFormerUniversity, University of Helmstedt]
Generated description
The University of Helmstedt was an early modern German university, founded in 1576 in the Duchy of Brunswick-Lüneburg, known as one of northern Germany’s leading Protestant centers of learning until its closure in 1810.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerUniversity
Context triple: [Helmstedt, hasFormerUniversity, University of Helmstedt]
  • A. hasFormerInstitution chosen
    Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
  • B. hasFormerInstitutionName
    Indicates that an institution was previously known by a different name.
  • C. hasUniversities
    Indicates that an entity possesses, contains, or is associated with one or more universities.
  • D. universityFormerName
    Indicates that a university previously had a different official name before adopting its current one.
  • E. firstTaughtAt
    Indicates the institution or place where an entity (typically a person) began their teaching career or taught for the first time.
  • F. None of above.

Provenance (6 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c84fe08190869463bdd0324160 completed April 20, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c0fa870c81909ae631e459d1737f completed May 22, 2026, 8:47 p.m.
NEDg Description generation batch_6a10c2d522988190bc01978dc5ef272f completed May 22, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a10c36b20a0819084d94066362937ee completed May 22, 2026, 8:58 p.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:31 p.m.