Triple

T8956463
Position Surface form Disambiguated ID Type / Status
Subject Uccle E213481 entity
Predicate hasSubdivision P747 FINISHED
Object Stalle
Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
 E767450 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: Stalle | Statement: [Uccle, hasSubdivision, Stalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stalle
Context triple: [Uccle, hasSubdivision, Stalle]
  • A. Stolley
    Stolley is the surname of Richard Stolley, the American journalist and founding managing editor of People magazine.
  • B. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • C. Stoll
    Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
  • D. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • E. Stiva
    Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
  • 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: Stalle
Triple: [Uccle, hasSubdivision, Stalle]
Generated description
Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stalle
Target entity description: Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
  • A. Stolley
    Stolley is the surname of Richard Stolley, the American journalist and founding managing editor of People magazine.
  • B. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • C. Stoll
    Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
  • D. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • E. Stiva
    Stiva is the familiar nickname of Stepan Arkadyevich Oblonsky, a charming, pleasure-loving Moscow nobleman and key supporting character in Leo Tolstoy’s novel "Anna Karenina."
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6728965881908e9f14aaee0c5a18 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc216ff2c819098056dff0de9479f completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc39465c48190811f56918fe48526 completed April 3, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3e6694c8190a03eb55a5b04df52 completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.