Triple

T8653013
Position Surface form Disambiguated ID Type / Status
Subject Porsche 944 E205144 entity
Predicate assembly P19323 FINISHED
Object Neckarsulm, Germany E681442 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: Neckarsulm, Germany | Statement: [Porsche 944, assembly, Neckarsulm, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neckarsulm, Germany
Context triple: [Porsche 944, assembly, Neckarsulm, Germany]
  • A. Neckarsulm, Germany chosen
    Neckarsulm is a town in the German state of Baden-Württemberg known for its automotive industry presence and as the headquarters of the discount supermarket chain Lidl.
  • B. Bietigheim-Bissingen, Germany
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its strong industrial base and proximity to major automotive and engineering companies.
  • C. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
  • D. Saalfeld, Germany
    Saalfeld is a historic town in the German state of Thuringia, known for its well-preserved medieval architecture and scenic location on the Saale River.
  • E. Waiblingen, Germany
    Waiblingen is a historic town in the German state of Baden-Württemberg, located near Stuttgart and known for its well-preserved old town and role as an industrial and residential center.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484206d881908017897dada63124 completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef368f6f081908dcfa2f28e476b02 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:29 p.m.