Triple

T13245383
Position Surface form Disambiguated ID Type / Status
Subject Lembeek E315387 entity
Predicate hasMunicipalAuthority P3379 FINISHED
Object Halle city council E657009 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: Halle city council | Statement: [Lembeek, hasMunicipalAuthority, Halle city council]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halle city council
Context triple: [Lembeek, hasMunicipalAuthority, Halle city council]
  • A. Halle city hall
    Halle city hall is a historic municipal building in the Belgian city of Halle, known for its architectural significance and role as the center of local government.
  • B. Municipal Council of Halle chosen
    The Municipal Council of Halle is the elected legislative body responsible for setting local policies, budgets, and regulations for the city of Halle in Belgium.
  • C. Halle
    Halle is a feminine given name used in various cultures, notably borne by American actress and singer Halle Bailey.
  • D. Halle
    Halle is a surname most notably borne by Morris Halle, a prominent linguist and phonologist.
  • E. Halle
    Halle is a historic city in the Belgian province of Flemish Brabant, known for its medieval architecture and the Basilica of Saint Martin, a notable pilgrimage site.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5b06148190a44e698bbe5cd529 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3600388190a7f61370f54d5e63 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.