Triple

T10519868
Position Surface form Disambiguated ID Type / Status
Subject Bretten E248135 entity
Predicate hasSubdivision P747 FINISHED
Object Ruit
Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
E868540 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: Ruit | Statement: [Bretten, hasSubdivision, Ruit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruit
Context triple: [Bretten, hasSubdivision, Ruit]
  • A. Deruta
    Deruta is an Italian town in Umbria renowned for its centuries-old tradition of high-quality artistic ceramics and pottery.
  • B. Radaur
    Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
  • C. Vallettan
    Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
  • D. Desulo
    Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
  • E. Tivat
    Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
  • 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: Ruit
Triple: [Bretten, hasSubdivision, Ruit]
Generated description
Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ruit
Target entity description: Ruit is a locality or district that forms part of the town of Bretten in the state of Baden-Württemberg, Germany.
  • A. Deruta
    Deruta is an Italian town in Umbria renowned for its centuries-old tradition of high-quality artistic ceramics and pottery.
  • B. Radaur
    Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
  • C. Vallettan
    Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
  • D. Desulo
    Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
  • E. Tivat
    Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509de0b3081909bec337aa8ff193e completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e063e948190b2f7cbae05d9ea61 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:28 p.m.