Triple

T17703650
Position Surface form Disambiguated ID Type / Status
Subject Battle of Zierenberg E441373 entity
Predicate location P40 FINISHED
Object Zierenberg E441373 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: Zierenberg | Statement: [Battle of Zierenberg, location, Zierenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zierenberg
Context triple: [Battle of Zierenberg, location, Zierenberg]
  • A. Zierenberg chosen
    Zierenberg is a small historic town in the German state of Hesse, notable for its medieval architecture and its role as the site of the Battle of Zierenberg.
  • B. Ziegenberg
    Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
  • C. Hangelsberg
    Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
  • D. Aegidienberg
    Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
  • E. Memmingerberg
    Memmingerberg is a small municipality in the Unterallgäu district of Bavaria in southern Germany.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729528b88190bd8a104f6f6d4e69 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02301ef8488190a71d06780a4f6b29 completed May 11, 2026, 7:38 p.m.
Created at: April 10, 2026, 10:05 a.m.