Triple

T15468283
Position Surface form Disambiguated ID Type / Status
Subject Grembergen E372087 entity
Predicate locatedIn P40 FINISHED
Object Dendermonde E118546 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: Dendermonde | Statement: [Grembergen, locatedIn, Dendermonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dendermonde
Context triple: [Grembergen, locatedIn, Dendermonde]
  • A. Dendermonde chosen
    Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
  • B. Oudenarde
    Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • D. Rupelmonde
    Rupelmonde is a village in Belgium best known as the birthplace of the renowned cartographer Gerardus Mercator.
  • E. Dentergem
    Dentergem is a municipality in the Belgian province of West Flanders.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90887ef48190b6148830803669dd completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 3:33 a.m.