Triple

T5749737
Position Surface form Disambiguated ID Type / Status
Subject Antwerp Province E126820 entity
Predicate hasMunicipality P847 FINISHED
Object Herentals E530290 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: Herentals | Statement: [Antwerp Province, hasMunicipality, Herentals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herentals
Context triple: [Antwerp Province, hasMunicipality, Herentals]
  • A. Herentals chosen
    Herentals is a historic city in the Belgian province of Antwerp, known for its medieval architecture and role as a regional commercial center.
  • B. Knokke-Heist
    Knokke-Heist is a Belgian coastal resort town known for its beaches, upscale tourism, and proximity to the Dutch border.
  • C. Badhoevedorp
    Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
  • D. Nuenen
    Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
  • E. Leiderdorp
    Leiderdorp is a town and municipality in the western Netherlands, situated near the city of Leiden in the province of South Holland.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288870fc819080e883c9d589359b completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097fcba40819097543d151b890788 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.