Triple

T10496316
Position Surface form Disambiguated ID Type / Status
Subject Erasbach E247545 entity
Predicate partOf P40 FINISHED
Object city of Neumarkt in der Oberpfalz E230484 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: city of Neumarkt in der Oberpfalz | Statement: [Erasbach, partOf, city of Neumarkt in der Oberpfalz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Neumarkt in der Oberpfalz
Context triple: [Erasbach, partOf, city of Neumarkt in der Oberpfalz]
  • A. Neumarkt in der Oberpfalz chosen
    Neumarkt in der Oberpfalz is a historic town in eastern Bavaria, Germany, known for its medieval architecture and role as a regional economic and cultural center.
  • B. Neustadt an der Waldnaab
    Neustadt an der Waldnaab is a small town in northeastern Bavaria, Germany, known for its historic center and location along the Waldnaab River.
  • C. Heumarkt
    Heumarkt is a historic square in Cologne’s Old Town known as a central marketplace and event space surrounded by notable landmarks, shops, and restaurants.
  • D. Kronach
    Kronach is a historic town in northern Bavaria, Germany, known for its well-preserved medieval old town and the imposing Rosenberg Fortress.
  • E. Stadt Nürnberg
    Stadt Nürnberg is the municipal government of the German city of Nuremberg, responsible for local administration, public services, and urban infrastructure.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098cd82c8190b44127a66c9c75ae completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcbafe9481908fb23cfdf150adac completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.