Triple

T15875789
Position Surface form Disambiguated ID Type / Status
Subject Rems E384949 entity
Predicate flowsThrough P225 FINISHED
Object Baden-Württemberg E32593 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: Baden-Württemberg | Statement: [Rems, flowsThrough, Baden-Württemberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baden-Württemberg
Context triple: [Rems, flowsThrough, 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 (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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fcffbc8190ba6d133107b83a7f completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93ddce4819086174b2549f5e12b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.