Triple

T5234233
Position Surface form Disambiguated ID Type / Status
Subject Bitterfeld-Wolfen E118183 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: [Bitterfeld-Wolfen, historicalRegion, Anhalt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anhalt
Context triple: [Bitterfeld-Wolfen, 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. 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.
  • D. 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.
  • E. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b04c03481908d901788ce2c4128 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef818f31c8190a26950dcd9d6a895 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.