Triple

T12125427
Position Surface form Disambiguated ID Type / Status
Subject Air Forces/Air Defense of the NVA E288798 entity
Predicate headquartersLocation P62 FINISHED
Object Eggersdorf E686821 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: Eggersdorf | Statement: [Air Forces/Air Defense of the NVA, headquartersLocation, Eggersdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eggersdorf
Context triple: [Air Forces/Air Defense of the NVA, headquartersLocation, Eggersdorf]
  • A. Eggersdorf chosen
    Eggersdorf is a locality in eastern Germany known historically as the command center of the former East German Air Force.
  • B. Ebersdorf
    Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
  • C. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • D. Eltersdorf
    Eltersdorf is a district of the Bavarian city of Erlangen in Germany, known for its residential character and local transport connections.
  • E. Euerdorf
    Euerdorf is a small municipality in the Bavarian region of Lower Franconia in 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9157b2a9881908ec0e58cf438fce0 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e48957081909c4598e82ab31e1f completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.