Triple

T11178119
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Huy E264463 entity
Predicate containsSettlement P847 FINISHED
Object Amay E295673 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: Amay | Statement: [Arrondissement of Huy, containsSettlement, Amay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amay
Context triple: [Arrondissement of Huy, containsSettlement, Amay]
  • A. Amay chosen
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • B. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • C. Amee
    Amee is a character portrayed by Katie Lucas, likely within a film or television production.
  • D. Amar'e
    Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
  • E. Amaya
    Amaya is a central character in the children's animated series PJ Masks, known for transforming into the superhero Owlette with the power of flight and enhanced vision.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e899c6288190b39e090fa9cdc883 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496e47f688190b2e8bc71605f9db3 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.