Triple

T1766934
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Christine of Brunswick-Wolfenbüttel E38783 entity
Predicate conversionPlace P31664 FINISHED
Object Bamberg E134924 NE FINISHED

How this triple was built (3 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: Bamberg | Statement: [Elisabeth Christine of Brunswick-Wolfenbüttel, conversionPlace, Bamberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamberg
Context triple: [Elisabeth Christine of Brunswick-Wolfenbüttel, conversionPlace, Bamberg]
  • A. Bamberg chosen
    Bamberg is a historic city in northern Bavaria, Germany, renowned for its well-preserved medieval old town and status as a UNESCO World Heritage Site.
  • B. Coburg
    Coburg is a historic town in northern Bavaria, Germany, known for its well-preserved medieval architecture and its former role as the seat of the Duchy of Saxe-Coburg and Gotha.
  • C. Regensburg
    Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
  • D. Straubing
    Straubing is a Bavarian town on the Danube River known for its historic city center and role as a regional economic and educational hub.
  • E. Würzburg
    Würzburg is a historic city in southern Germany known for its baroque architecture, the Würzburg Residence palace, and its location along the Main River in the Franconia wine region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conversionPlace
Context triple: [Elisabeth Christine of Brunswick-Wolfenbüttel, conversionPlace, Bamberg]
  • A. convertedCountryTo
    Indicates that an entity has changed or transformed another entity into a specified country or country-level status.
  • B. currencyProject
    Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
  • C. conversionBasis
    Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
  • D. convertedUnit
    Indicates that one unit is the result of converting a quantity expressed in another unit.
  • E. conversionEvent
    Indicates that a user or entity has completed a desired target action (such as a purchase, signup, or other goal) that counts as a successful conversion.
  • F. None of above. chosen

Provenance (5 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab39fc2c448190bfaf1ee8d474632a completed March 6, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fac8ae5c8190bfa6c12e3997374b completed March 14, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69aa61cbb1288190a7ba38b61905f578 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab39faf69c8190bae98d3e3911078f completed March 6, 2026, 8:32 p.m.
Created at: March 4, 2026, 7:31 p.m.