Triple

T5284637
Position Surface form Disambiguated ID Type / Status
Subject Town hall of Gera E119585 entity
Predicate ownedBy P347 FINISHED
Object City of Gera E35113 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: City of Gera | Statement: [Town hall of Gera, ownedBy, City of Gera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Gera
Context triple: [Town hall of Gera, ownedBy, City of Gera]
  • A. City of Gera chosen
    The City of Gera is a medium-sized city in the German state of Thuringia, historically known as an industrial and cultural center in eastern Germany.
  • B. Imperial City of Gelnhausen
    The Imperial City of Gelnhausen was a Free Imperial City of the Holy Roman Empire in present-day Hesse, Germany, historically notable as a medieval trading center and imperial residence.
  • C. Thal City
    Thal City is a major settlement of the Thal people on the planet Skaro in the Doctor Who universe, often depicted in contrast to the Dalek-controlled areas of the world.
  • D. Gerrha
    Gerrha was an ancient, wealthy trading city-state in Eastern Arabia that controlled key caravan and maritime routes linking Mesopotamia, Arabia, and the Indian Ocean.
  • E. Eulachstadt
    Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84d693288190b437955e40ad6abb completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10dc64f4819091fcbc39c0e3034b completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:52 p.m.