Triple

T23218526
Position Surface form Disambiguated ID Type / Status
Subject Kurpfalz E580817 entity
Predicate hasCity P316 FINISHED
Object Frankenthal NE NERFINISHED

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: Frankenthal | Statement: [Kurpfalz, hasCity, Frankenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankenthal
Context triple: [Kurpfalz, hasCity, Frankenthal]
  • A. Frankenthal chosen
    Frankenthal is a town in the Rhineland-Palatinate region of southwestern Germany, historically known as a center for art and culture in the late 16th and early 17th centuries.
  • B. Frankenthal
    Frankenthal is a small town located within the Bautzen district in the Free State of Saxony in eastern Germany.
  • C. Morbach
    Morbach is a small town in the Hunsrück region of Rhineland-Palatinate in western Germany, known for its scenic forests and rural landscapes.
  • D. Passenheim
    Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
  • E. Bruchsal
    Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916653f08190a7dcbc659c6b6a25 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.