Triple

T11506708
Position Surface form Disambiguated ID Type / Status
Subject Prince of Grubenhagen E272802 entity
Predicate seatOfPower P761 FINISHED
Object Grubenhagen E298827 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: Grubenhagen | Statement: [Prince of Grubenhagen, seatOfPower, Grubenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grubenhagen
Context triple: [Prince of Grubenhagen, seatOfPower, Grubenhagen]
  • A. Grubenhagen chosen
    Grubenhagen is a locality in Germany situated along the River Leine, historically associated with the former Principality of Grubenhagen in Lower Saxony.
  • B. Gehren
    Gehren is a small town in the German state of Thuringia, historically notable as the birthplace of Maria Barbara Bach, first wife of composer Johann Sebastian Bach.
  • C. Hodenhagen
    Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
  • D. Grödinge
    Grödinge is a rural locality in eastern Sweden known for its countryside landscapes and proximity to the Stockholm metropolitan area.
  • E. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db43a648190be859bec2fe9f43b completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7a6cd3081909c8a86aa0870523c completed April 21, 2026, 2:57 a.m.
Created at: April 8, 2026, 9:36 p.m.