Triple

T20721944
Position Surface form Disambiguated ID Type / Status
Subject Hanover city hall E509334 entity
Predicate architect P184 FINISHED
Object Hermann Eggert NE NERFINISHED

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: Hermann Eggert | Statement: [Hanover city hall, architect, Hermann Eggert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann Eggert
Context triple: [Hanover city hall, architect, Hermann Eggert]
  • A. Hermann Eggert chosen
    Hermann Eggert was a German architect of the late 19th and early 20th centuries, noted for designing prominent public buildings in historicist styles.
  • B. Edgar Kalland
    Edgar Kalland was one of the mushers who participated in the 1925 serum run to Nome, helping relay life-saving diphtheria antitoxin across Alaska.
  • C. Bernhard Eisel
    Bernhard Eisel is an Austrian former professional road cyclist known as a strong classics specialist and loyal domestique, particularly during his years with Team Columbia–High Road and Team Sky.
  • D. Otto Elfeldt
    Otto Elfeldt was a German Wehrmacht general during World War II who held several corps-level commands on the Western Front.
  • E. Ernst Lohrmann
    Ernst Lohrmann was a 19th-century German-Finnish architect known for his influential role in shaping the neoclassical cityscape of Helsinki.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d6bdcc8190ba42c44159a2c0d5 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:27 p.m.