Triple

T18244726
Position Surface form Disambiguated ID Type / Status
Subject Langensalza E436920 entity
Predicate locatedNear P294 FINISHED
Object Eichsfeld 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: Eichsfeld | Statement: [Langensalza, locatedNear, Eichsfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eichsfeld
Context triple: [Langensalza, locatedNear, 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 (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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e5d63081908d0e6249578867a1 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.