Triple

T20640844
Position Surface form Disambiguated ID Type / Status
Subject Unterwurmbach E507215 entity
Predicate hasLocalGovernment P2820 FINISHED
Object Stadt Gunzenhausen 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: Stadt Gunzenhausen | Statement: [Unterwurmbach, hasLocalGovernment, Stadt Gunzenhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt Gunzenhausen
Context triple: [Unterwurmbach, hasLocalGovernment, Stadt Gunzenhausen]
  • A. Gussenstadt
    Gussenstadt is a village in the German state of Baden-Württemberg that forms one of the districts of the municipality of Gerstetten.
  • B. Gunzenhausen chosen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • C. Großeibstadt
    Großeibstadt is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and Franconian village setting.
  • D. Stadt Burgau
    Stadt Burgau is a small historic town in the Bavarian region of Swabia, Germany, known for its medieval architecture and local cultural heritage.
  • E. Weinstadt
    Weinstadt is a town in the German state of Baden-Württemberg, known for its winegrowing tradition in the Rems Valley near Stuttgart.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.