Triple

T2317429
Position Surface form Disambiguated ID Type / Status
Subject Goslar E51097 entity
Predicate locatedIn P40 FINISHED
Object Harz district E242940 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: Harz district | Statement: [Goslar, locatedIn, Harz district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harz district
Context triple: [Goslar, locatedIn, Harz district]
  • A. Harz district chosen
    Harz district is an administrative district in central Germany known for encompassing much of the Harz mountain range, including historic towns and natural landscapes.
  • B. Ansbach region
    The Ansbach region is an area in the German state of Bavaria, historically part of Franconia and known for its distinct East Franconian dialect and cultural heritage.
  • C. Kyffhäuserkreis
    Kyffhäuserkreis is a rural district in the German state of Thuringia, known for the Kyffhäuser mountain range and the Kyffhäuser Monument.
  • D. District of Nordsachsen
    The District of Nordsachsen is a rural administrative district in the Free State of Saxony in eastern Germany, located north of Leipzig and known for its mix of small towns, agricultural areas, and transport links.
  • E. Weißenfels district
    Weißenfels district was a former administrative district in the German state of Saxony-Anhalt, centered on the town of Weißenfels.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.