Triple

T16699613
Position Surface form Disambiguated ID Type / Status
Subject canton of Algrange E405809 entity
Predicate contains P35 FINISHED
Object Aumetz E827109 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: Aumetz | Statement: [canton of Algrange, contains, Aumetz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aumetz
Context triple: [canton of Algrange, contains, Aumetz]
  • A. Aumetz chosen
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • B. Willanzheim
    Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
  • C. Mundolsheim
    Mundolsheim is a suburban commune in northeastern France, located just north of Strasbourg in the Bas-Rhin department of the Grand Est region.
  • D. Marckolsheim
    Marckolsheim is a commune in northeastern France, located in the Grand Est region near the Rhine River and the German border.
  • E. 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.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.