Triple

T13081547
Position Surface form Disambiguated ID Type / Status
Subject Louise, Princess of Anhalt-Dessau E310217 entity
Predicate historicalRegion P915 FINISHED
Object Anhalt E286774 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: Anhalt | Statement: [Louise, Princess of Anhalt-Dessau, historicalRegion, Anhalt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anhalt
Context triple: [Louise, Princess of Anhalt-Dessau, historicalRegion, Anhalt]
  • A. Anhalt chosen
    Anhalt is a historical region in central Germany that once formed a duchy and later a state, now largely part of the federal state of Saxony-Anhalt.
  • B. Sachse
    Sachse is a suburban city in the Dallas–Fort Worth metropolitan area of northeastern Texas.
  • C. Brannenburg
    Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
  • D. North Hesse
    North Hesse is a region in the northern part of the German state of Hesse, centered around the city of Kassel and known for its forests, hills, and cultural heritage.
  • E. Tubas
    Tubas is a Palestinian city in the northeastern West Bank, serving as the administrative center of the Tubas Governorate and known for its agricultural surroundings in the Jordan Valley region.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9811add9881908a92186dab5b6d48 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.