Triple

T5658854
Position Surface form Disambiguated ID Type / Status
Subject Flemish Limburg E124685 entity
Predicate hasMunicipality P847 FINISHED
Object Alken
Alken is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
 E537811 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: Alken | Statement: [Flemish Limburg, hasMunicipality, Alken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alken
Context triple: [Flemish Limburg, hasMunicipality, Alken]
  • A. Alen
    Alen is a given name and surname used in various cultures, often considered a variant of the name Allen or Alan.
  • B. Alkett
    Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
  • C. Alkemade
    Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
  • D. Alykes
    Alykes is a coastal village and popular tourist resort on the Greek island of Zakynthos in the Ionian Sea.
  • E. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • 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: Alken
Triple: [Flemish Limburg, hasMunicipality, Alken]
Generated description
Alken is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alken
Target entity description: Alken is a municipality in the Belgian province of Limburg, known for its rural character and local brewing tradition.
  • A. Alen
    Alen is a given name and surname used in various cultures, often considered a variant of the name Allen or Alan.
  • B. Alkett
    Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
  • C. Alkemade
    Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
  • D. Alykes
    Alykes is a coastal village and popular tourist resort on the Greek island of Zakynthos in the Ionian Sea.
  • E. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fd9b148190bd4aa9c43500949f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da37ffc819095f33e7e66e7c1d0 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.