Triple

T19002663
Position Surface form Disambiguated ID Type / Status
Subject Neuselhalden E464993 entity
Predicate hasMunicipality P847 FINISHED
Object Steinheim am Albuch 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: Steinheim am Albuch | Statement: [Neuselhalden, hasMunicipality, Steinheim am Albuch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinheim am Albuch
Context triple: [Neuselhalden, hasMunicipality, Steinheim am Albuch]
  • A. Steinheim am Albuch chosen
    Steinheim am Albuch is a small municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for the nearby Steinheim meteorite crater.
  • B. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • C. Steinbach am Attersee
    Steinbach am Attersee is a lakeside municipality in Upper Austria known for its scenic location on the shores of Lake Attersee in the Salzkammergut region.
  • D. Hirschstetten
    Hirschstetten is a residential and partly industrial neighborhood in Vienna, Austria, known for its local gardens and suburban character within the district of Donaustadt.
  • E. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a252588190a40398b1879fb096 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.