Triple

T3166613
Position Surface form Disambiguated ID Type / Status
Subject Carl Hempel E66225 entity
Predicate memberOf P10 FINISHED
Object Berlin Circle E13856 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: Berlin Circle | Statement: [Carl Hempel, memberOf, Berlin Circle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Circle
Context triple: [Carl Hempel, memberOf, Berlin Circle]
  • A. Berlin Circle chosen
    The Berlin Circle was a group of early 20th-century philosophers and scientists in Berlin who advanced a scientifically oriented, empiricist approach to philosophy closely related to logical positivism.
  • B. Kreisau Circle
    The Kreisau Circle is a fictional resistance group in the Wolfenstein video game series that fights against the Nazi regime and its successors.
  • C. Jacob Circle
    Jacob Circle is a key transport hub and urban locality in South Mumbai that serves as the southern terminus of the Mumbai Monorail.
  • D. Outer Circle
    Outer Circle is one of the two circular routes of the Glasgow Subway system, running trains in the clockwise direction around the network.
  • E. Outer Circle
    Outer Circle is the outermost ring road of Connaught Place in New Delhi, known for its commercial complexes, offices, and shops arranged in a circular layout.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.