Triple

T24969812
Position Surface form Disambiguated ID Type / Status
Subject Niederrad Campus E624850 entity
Predicate hasAcademicUnit P1488 FINISHED
Object faculties of Goethe University Frankfurt
The faculties of Goethe University Frankfurt are the main academic divisions of the university, encompassing its various disciplines, departments, and research and teaching units.
E1657964 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: faculties of Goethe University Frankfurt | Statement: [Niederrad Campus, hasAcademicUnit, faculties of Goethe University Frankfurt]
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: faculties of Goethe University Frankfurt
Triple: [Niederrad Campus, hasAcademicUnit, faculties of Goethe University Frankfurt]
Generated description
The faculties of Goethe University Frankfurt are the main academic divisions of the university, encompassing its various disciplines, departments, and research and teaching units.

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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f444dc77108190b08088c3e01a9d7c completed May 1, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103359fdf08190ad825bb2449d6241 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10343efd288190884ee9ebcb1b4afb completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1035004ea081908dc1f871f02ad95b completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 6:01 a.m.