Triple

T14198765
Position Surface form Disambiguated ID Type / Status
Subject Marksburg Castle E351908 entity
Predicate nearbySettlement P350 FINISHED
Object Braubach E366295 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: Braubach | Statement: [Marksburg Castle, nearbySettlement, Braubach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braubach
Context triple: [Marksburg Castle, nearbySettlement, Braubach]
  • A. Braubach chosen
    Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
  • B. Braunsbach
    Braunsbach is a small municipality in the German state of Baden-Württemberg, known for being severely damaged by flash floods during the 2016 European flooding events.
  • C. Brombach
    Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
  • D. Borbach
    Borbach is a small river or stream associated with the city of Witten in North Rhine-Westphalia, Germany.
  • E. Ruppichteroth
    Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff13322c548190bac21db2bfa56ee9 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 1:04 a.m.