Triple

T2777537
Position Surface form Disambiguated ID Type / Status
Subject Göttingen district E61609 entity
Predicate borderedBy P224 FINISHED
Object Kassel district E210960 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: Kassel district | Statement: [Göttingen district, borderedBy, Kassel district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kassel district
Context triple: [Göttingen district, borderedBy, Kassel district]
  • A. Göttingen district
    Göttingen district is an administrative district in southern Lower Saxony, Germany, known for encompassing the university city of Göttingen and surrounding rural areas.
  • B. Kassel chosen
    Kassel is a city in central Germany known for its cultural institutions and as the host of the renowned contemporary art exhibition documenta.
  • C. County of Hanau
    The County of Hanau was a historical territorial state within the Holy Roman Empire, centered around the town of Hanau in present-day Hesse, Germany.
  • D. Waldeck-Frankenberg district
    Waldeck-Frankenberg district is a rural administrative district in northern Hesse, Germany, known for its reservoirs, natural landscapes, and historic towns.
  • E. Greiz district
    Greiz district is a rural administrative district in the eastern German state of Thuringia, known for its hilly landscapes, small towns, and location near the border with Saxony-Anhalt and Saxony.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd82a864819082bd1181a16d5208 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8a126f881909c378eca59b570a0 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:57 p.m.