Triple

T1753635
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Belgium E38502 entity
Predicate containsSettlement P847 FINISHED
Object Amel E192746 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: Amel | Statement: [German-speaking Belgium, containsSettlement, Amel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amel
Context triple: [German-speaking Belgium, containsSettlement, Amel]
  • A. Amel chosen
    Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
  • 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. Anat
    Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
  • D. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • E. Amalia
    Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64169c508190a33074fb06e9c755 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e84c1c8190917edf14003cba81 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.