Triple

T10333637
Position Surface form Disambiguated ID Type / Status
Subject Harz district E242940 entity
Predicate contains P35 FINISHED
Object Schierke E312128 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: Schierke | Statement: [Harz district, contains, Schierke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schierke
Context triple: [Harz district, contains, Schierke]
  • A. Schierke chosen
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • B. Scheur
    Scheur is a distributary branch of the Rhine–Meuse river system in the Netherlands that serves as an important shipping route in the Port of Rotterdam area.
  • C. Schmarbeck
    Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
  • D. Ropscha
    Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
  • E. Scharloo
    Scharloo is a historic neighborhood in Willemstad, Curaçao, known for its well-preserved colonial architecture and former Jewish merchant mansions.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc366b481909c49f199892e9d42 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75054515081908240f985f8b6e2df completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:53 a.m.