Triple

T13153878
Position Surface form Disambiguated ID Type / Status
Subject Duderstadt E312532 entity
Predicate locatedIn P40 FINISHED
Object Eichsfeld E306183 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: Eichsfeld | Statement: [Duderstadt, locatedIn, Eichsfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eichsfeld
Context triple: [Duderstadt, locatedIn, Eichsfeld]
  • A. Saalekreis
    Saalekreis is a rural district in the German state of Saxony-Anhalt, located around the city of Halle (Saale).
  • B. Eichsfeld district chosen
    Eichsfeld district is a rural administrative district in northern Thuringia, Germany, known for its historically Catholic character within a largely Protestant region.
  • C. Vogelsbergkreis
    Vogelsbergkreis is a rural district in the German state of Hesse, known for encompassing much of the Vogelsberg volcanic mountain range and its largely agricultural, small-town landscape.
  • D. Wartburgkreis
    Wartburgkreis is a rural district in the western part of the German state of Thuringia, known for encompassing the historic Wartburg Castle near Eisenach.
  • E. Sulzthal
    Sulzthal is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural character and Franconian cultural setting.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460c05bc819089cdd004bb07c492 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:11 p.m.