Triple

T4226353
Position Surface form Disambiguated ID Type / Status
Subject Battle of Kay E94467 entity
Predicate location P40 FINISHED
Object Kay, Neumark E67735 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: Kay, Neumark | Statement: [Battle of Kay, location, Kay, Neumark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kay, Neumark
Context triple: [Battle of Kay, location, Kay, Neumark]
  • A. Uckermark chosen
    Uckermark is a rural historical region in northeastern Germany, known for its lakes, forests, and low population density, located primarily in the state of Brandenburg.
  • B. Badenburg
    Badenburg is an ornate pavilion within Munich’s Nymphenburg Palace park, known for its richly decorated interiors and historical bathing hall.
  • C. Neumecklenburg
    Neumecklenburg was the German colonial-era name for New Ireland, an island in the Bismarck Archipelago of present-day Papua New Guinea.
  • D. Mecklenburgische Schweiz
    Mecklenburgische Schweiz is a hilly, lake-rich landscape region in northeastern Germany known for its rolling moraines, forests, and scenic rural character.
  • E. Havelland
    Havelland is a rural district in western Brandenburg, Germany, known for its river landscapes along the Havel, historic towns, and agricultural character.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4ed34c819081d1479ce87cd78c completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59647bd948190afc168ba1057a52f completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.