Triple

T12132366
Position Surface form Disambiguated ID Type / Status
Subject Stockel – Stokkel E288963 entity
Predicate hasLanguageVariantName P15 FINISHED
Object Stockel
Stockel is a residential neighborhood and metro terminus in the Woluwe-Saint-Pierre municipality of Brussels, Belgium.
E963972 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: Stockel | Statement: [Stockel – Stokkel, hasLanguageVariantName, Stockel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stockel
Context triple: [Stockel – Stokkel, hasLanguageVariantName, Stockel]
  • A. Stöcker
    Stöcker is a German surname that is a variant of the name Stoker.
  • B. Kleiser
    Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
  • C. Schmarbeck
    Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
  • D. Kestel
    Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
  • E. Schwartau
    Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
  • 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: Stockel
Triple: [Stockel – Stokkel, hasLanguageVariantName, Stockel]
Generated description
Stockel is a residential neighborhood and metro terminus in the Woluwe-Saint-Pierre municipality of Brussels, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stockel
Target entity description: Stockel is a residential neighborhood and metro terminus in the Woluwe-Saint-Pierre municipality of Brussels, Belgium.
  • A. Stöcker
    Stöcker is a German surname that is a variant of the name Stoker.
  • B. Kleiser
    Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
  • C. Schmarbeck
    Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
  • D. Kestel
    Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
  • E. Schwartau
    Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:49 p.m.