Triple

T9504721
Position Surface form Disambiguated ID Type / Status
Subject Imperial City of Seltz E229234 entity
Predicate hasCapital P204 FINISHED
Object Seltz
Seltz is the principal city and administrative center of the Imperial City of Seltz.
E803767 NE FINISHED

How this triple was built (4 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: Seltz | Statement: [Imperial City of Seltz, hasCapital, Seltz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seltz
Context triple: [Imperial City of Seltz, hasCapital, Seltz]
  • A. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • B. Budweis
    Budweis is the German name for České Budějovice, a historic city in the Czech Republic renowned for its brewing tradition and medieval architecture.
  • C. Schlitz
    Schlitz is the surname of Don Schlitz, the American country music songwriter best known for penning hits like “The Gambler.”
  • D. Schlitz
    Schlitz is a river in the German state of Hesse that flows through the town of Schlitz before joining the Werra.
  • E. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Seltz
Triple: [Imperial City of Seltz, hasCapital, Seltz]
Generated description
Seltz is the principal city and administrative center of the Imperial City of Seltz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seltz
Target entity description: Seltz is the principal city and administrative center of the Imperial City of Seltz.
  • A. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • B. Budweis
    Budweis is the German name for České Budějovice, a historic city in the Czech Republic renowned for its brewing tradition and medieval architecture.
  • C. Schlitz
    Schlitz is the surname of Don Schlitz, the American country music songwriter best known for penning hits like “The Gambler.”
  • D. Schlitz
    Schlitz is a river in the German state of Hesse that flows through the town of Schlitz before joining the Werra.
  • E. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9850fe6c8190a5a96cfae12562c6 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a17abac8190823cec6b8328bc96 completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13be79b1c8190a9110312ae25cf32 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13ca165b88190b4d629df0e079b3b completed April 4, 2026, 4:30 p.m.
Created at: March 30, 2026, 7:57 p.m.