Triple

T10942015
Position Surface form Disambiguated ID Type / Status
Subject Sartrouville E258495 entity
Predicate hasTwinTown P919 FINISHED
Object Völklingen E199323 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: Völklingen | Statement: [Sartrouville, hasTwinTown, Völklingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Völklingen
Context triple: [Sartrouville, hasTwinTown, Völklingen]
  • A. Völklingen chosen
    Völklingen is an industrial city in western Germany best known for its UNESCO-listed Völklingen Ironworks, a major preserved steelworks complex.
  • B. Haguenau
    Haguenau is a historic town in northeastern France’s Alsace region, known for its medieval heritage, cultural traditions, and role as a local economic center.
  • C. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • D. Breisach am Rhein
    Breisach am Rhein is a historic German town on the Rhine River near the French border, known for its hilltop cathedral and strategic location between the Black Forest and Alsace.
  • E. Schiltigheim
    Schiltigheim is a suburban commune in northeastern France, located just north of Strasbourg and known historically for its brewing industry.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c33a7c8190b3347944f68ee431 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c1ed4f081909ac5731dac325466 completed April 17, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:23 p.m.