Triple

T15898957
Position Surface form Disambiguated ID Type / Status
Subject Bautzen district E385533 entity
Predicate containsTown P847 FINISHED
Object Hochkirch E1056535 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: Hochkirch | Statement: [Bautzen district, containsTown, Hochkirch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochkirch
Context triple: [Bautzen district, containsTown, Hochkirch]
  • A. Hochkirch chosen
    Hochkirch is a village in Saxony, eastern Germany, historically notable as the site of the 1758 Battle of Hochkirch during the Seven Years' War.
  • B. Niederkirchen
    Niederkirchen is a municipality in western Germany, known for its rural character and cultural ties to its French twin town, Château-Thierry.
  • C. Unterneukirchen
    Unterneukirchen is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location in southeastern Upper Bavaria.
  • D. Neukirchen
    Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
  • E. Neukirchen
    Neukirchen is a village and cadastral community that forms part of the market town of Altmünster in Upper Austria.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563bd0688190b6f7a695be0a4625 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.