Triple

T11817240
Position Surface form Disambiguated ID Type / Status
Subject Vaux-sur-Sûre E281032 entity
Predicate hasSubdivision P747 FINISHED
Object Sibret
Sibret is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
 E948109 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: Sibret | Statement: [Vaux-sur-Sûre, hasSubdivision, Sibret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sibret
Context triple: [Vaux-sur-Sûre, hasSubdivision, Sibret]
  • A. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • B. Seibeld
    Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Enniberg
    Enniberg is a towering sea cliff on the northern tip of Viðoy in the Faroe Islands, known as one of the highest promontories of its kind in Europe.
  • E. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • 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: Sibret
Triple: [Vaux-sur-Sûre, hasSubdivision, Sibret]
Generated description
Sibret is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sibret
Target entity description: Sibret is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
  • A. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • B. Seibeld
    Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Enniberg
    Enniberg is a towering sea cliff on the northern tip of Viðoy in the Faroe Islands, known as one of the highest promontories of its kind in Europe.
  • E. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131cbf9708190ba8394fb3508b975 completed April 28, 2026, 10:16 p.m.
NEDg Description generation batch_69f14e8a1b788190a1704d6e102342e3 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f15715a1588190ba0ec21647adc57c completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.