Triple

T16707283
Position Surface form Disambiguated ID Type / Status
Subject Gerichtstraße E406003 entity
Predicate locatedIn P40 FINISHED
Object Wedding E71194 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: Wedding | Statement: [Gerichtstraße, locatedIn, Wedding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wedding
Context triple: [Gerichtstraße, locatedIn, Wedding]
  • A. Wedding chosen
    Wedding is a district in Berlin, Germany, known for its multicultural character and urban residential neighborhoods.
  • B. Wedding Day
    "Wedding Day" is a notable poem by Harlem Renaissance writer and artist Gwendolyn Bennett, reflecting her lyrical style and exploration of Black identity and emotional experience.
  • C. Wedding Day
    "Wedding Day" is a short story by Ernest Hemingway that follows his recurring character Nick Adams through the emotional complexities surrounding marriage and personal relationships.
  • D. Matrimony
    Matrimony is the Christian sacrament in which a man and a woman enter into a lifelong, covenantal union ordered toward the good of the spouses and the procreation and education of children.
  • E. Anand Karaj
    Anand Karaj is the Sikh marriage ceremony, conducted in the presence of the Guru Granth Sahib and centered on spiritual union and commitment.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38337ecac8190bc4a9410ed7681ab completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.