Triple

T10281924
Position Surface form Disambiguated ID Type / Status
Subject Hanna Schygulla E241119 entity
Predicate notableWork P4 FINISHED
Object Berlin Alexanderplatz E578117 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 Alexanderplatz | Statement: [Hanna Schygulla, notableWork, Berlin Alexanderplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Alexanderplatz
Context triple: [Hanna Schygulla, notableWork, Berlin Alexanderplatz]
  • A. Berlin Alexanderplatz chosen
    Berlin Alexanderplatz is a major public square and transport hub in central Berlin, known for its shopping areas, historic sites, and proximity to the iconic TV Tower.
  • B. Tatort
    Tatort is a long-running German crime television series featuring different police teams investigating murder cases across various cities in Germany, Austria, and Switzerland.
  • C. Unter den Linden
    Unter den Linden is a historic and grand boulevard in central Berlin, Germany, renowned for its cultural institutions, landmarks, and role as a major ceremonial avenue.
  • D. Verbotene Stadt
    Verbotene Stadt is the German nickname for the heavily restricted former Soviet military headquarters and garrison town in Wünsdorf, Brandenburg.
  • E. La Ronde
    La Ronde is a major amusement park located in Montreal, Quebec, known for its roller coasters and seasonal events.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8352a108190b3692a2de3cb4dea completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:39 a.m.