Triple

T10150286
Position Surface form Disambiguated ID Type / Status
Subject Flandes E232615 entity
Predicate hasUrbanArea P316 FINISHED
Object Flandes town
Flandes town is the main populated urban center of the municipality of Flandes, known for serving as its local administrative and commercial hub.
E843462 NE FINISHED

How this triple was built (4 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: Flandes town | Statement: [Flandes, hasUrbanArea, Flandes town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flandes town
Context triple: [Flandes, hasUrbanArea, Flandes town]
  • A. Dendermonde
    Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
  • B. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • C. Drimmelen
    Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
  • D. Gembloux
    Gembloux is a town in the Walloon region of Belgium known for its historic center and agricultural university.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flandes town
Triple: [Flandes, hasUrbanArea, Flandes town]
Generated description
Flandes town is the main populated urban center of the municipality of Flandes, known for serving as its local administrative and commercial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flandes town
Target entity description: Flandes town is the main populated urban center of the municipality of Flandes, known for serving as its local administrative and commercial hub.
  • A. Dendermonde
    Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
  • B. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • C. Drimmelen
    Drimmelen is a municipality and village in the southern Netherlands, known for its historic harbor and as a gateway to the Biesbosch National Park.
  • D. Gembloux
    Gembloux is a town in the Walloon region of Belgium known for its historic center and agricultural university.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6369c848190984394eedf2f07eb completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e7408e58819083c43e334a87a09f completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7b854d08190ac2af642970b7f09 completed April 5, 2026, 10:52 p.m.
Created at: March 30, 2026, 9:08 p.m.