Triple

T7842326
Position Surface form Disambiguated ID Type / Status
Subject Sophia Louise of Mecklenburg-Schwerin E181835 entity
Predicate birthPlace P1 FINISHED
Object Grabow E474424 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: Grabow | Statement: [Sophia Louise of Mecklenburg-Schwerin, birthPlace, Grabow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grabow
Context triple: [Sophia Louise of Mecklenburg-Schwerin, birthPlace, Grabow]
  • A. Grabow chosen
    Grabow is a small town in northern Germany, known for its historic architecture and location along the Elde River in the state of Mecklenburg-Vorpommern.
  • B. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • C. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Wołosate
    Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163b32688190b463a9cd8fa3c690 completed March 31, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc01e1b88190817a73e580cf4f03 completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 4:48 p.m.