Triple

T11921219
Position Surface form Disambiguated ID Type / Status
Subject Marl, Germany E283658 entity
Predicate namedAfter P63 FINISHED
Object Marl (historical settlement name) E733464 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: Marl (historical settlement name) | Statement: [Marl, Germany, namedAfter, Marl (historical settlement name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marl (historical settlement name)
Context triple: [Marl, Germany, namedAfter, Marl (historical settlement name)]
  • A. Marlb
    Marlb is the commonly used abbreviation for Marlborough College, a prestigious independent boarding school in Wiltshire, England.
  • B. Marl chosen
    Marl is an industrial town in western Germany’s North Rhine-Westphalia, known for its large chemical industry complex and location within the Ruhr area.
  • C. Marling
    Marling is an English surname historically associated with British nobility and public service.
  • D. Montbrison (historical town name)
    Montbrison (historical town name) refers to an earlier or alternative historical designation of the French town of Montbrison, reflecting its past identity and usage in historical records.
  • E. Mariefred
    Mariefred is a small historic town in Södermanland County, Sweden, known for the nearby Gripsholm Castle and its picturesque lakeside setting.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f44033c288819099587af3f895eac5 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:45 p.m.