Triple

T22968402
Position Surface form Disambiguated ID Type / Status
Subject Alpenexpress Enzian E571110 entity
Predicate region P40 FINISHED
Object Baden-Württemberg NE NERFINISHED

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: Baden-Württemberg | Statement: [Alpenexpress Enzian, region, Baden-Württemberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baden-Württemberg
Context triple: [Alpenexpress Enzian, region, Baden-Württemberg]
  • A. Baden-Württemberg chosen
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • B. Ostwürttemberg
    Ostwürttemberg is a region in eastern Baden-Württemberg, Germany, known for its mix of industrial centers and rural landscapes.
  • C. Württemberg
    Württemberg is a historical region in southwestern Germany that served as the core territory of various states, including the Duchy and later Kingdom of Württemberg, and now forms part of the federal state of Baden-Württemberg.
  • D. Rhineland-Palatinate
    Rhineland-Palatinate is a federal state in western Germany known for its wine-growing regions along the Rhine and Moselle rivers and its historic cities such as Mainz and Trier.
  • E. Baviera
    Baviera is a barangay, or local administrative village, within the city of Sagay in the Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182301f388190bb39e3d5b356dc65 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.