Triple

T20721950
Position Surface form Disambiguated ID Type / Status
Subject Hanover city hall E509334 entity
Predicate locatedNear P294 FINISHED
Object Maschteich 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: Maschteich | Statement: [Hanover city hall, locatedNear, Maschteich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maschteich
Context triple: [Hanover city hall, locatedNear, Maschteich]
  • A. Maschteich chosen
    Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
  • B. Meißenheim
    Meißenheim is a small municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine River.
  • C. Trostberg
    Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
  • D. Schmargendorf
    Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
  • E. Speßhardt
    Speßhardt is a locality or district that forms part of the town of Calw in the state of Baden-Württemberg, Germany.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d6bdcc8190ba42c44159a2c0d5 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:27 p.m.