Triple

T5222265
Position Surface form Disambiguated ID Type / Status
Subject Christian Morgenstern E117896 entity
Predicate hasCollection P426 FINISHED
Object Alle Galgenlieder E504183 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: Alle Galgenlieder | Statement: [Christian Morgenstern, hasCollection, Alle Galgenlieder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alle Galgenlieder
Context triple: [Christian Morgenstern, hasCollection, Alle Galgenlieder]
  • A. Galgenlieder chosen
    Galgenlieder is a famous collection of humorous and linguistically playful nonsense poems by German writer Christian Morgenstern.
  • B. Ouvrage Galgenberg
    Ouvrage Galgenberg is a major Maginot Line fortification near Thionville in northeastern France, built to defend the French border with Germany before World War II.
  • C. Kindertotenlieder
    Kindertotenlieder is a song cycle for voice and orchestra by Gustav Mahler, setting Friedrich Rückert’s poems about the death of children to deeply introspective and elegiac music.
  • D. Die Rothosen
    Die Rothosen is the traditional German football club Hamburger SV’s nickname, referring to the team’s iconic red shorts and kit colors.
  • E. Waidmannslust
    Waidmannslust is a residential locality in the Reinickendorf borough of Berlin, Germany, known for its green spaces and suburban character.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06b46eac81908b985363733fcd63 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:48 p.m.