Triple

T7115528
Position Surface form Disambiguated ID Type / Status
Subject OBDA systems E165807 entity
Predicate exampleImplementation P74636 FINISHED
Object Ultrawrap
Ultrawrap is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology-driven, semantic layer.
E641817 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: Ultrawrap | Statement: [OBDA systems, exampleImplementation, Ultrawrap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ultrawrap
Context triple: [OBDA systems, exampleImplementation, Ultrawrap]
  • A. Mylar
    Mylar is a durable, transparent polyester film widely used for packaging, insulation, and protective applications.
  • B. Volax
    Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
  • C. T-Bag
    T-Bag is a sadistic and manipulative prison inmate and primary antagonist in the television series "Prison Break."
  • D. Olite
    Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
  • E. Spontex
    Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
  • 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: Ultrawrap
Triple: [OBDA systems, exampleImplementation, Ultrawrap]
Generated description
Ultrawrap is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology-driven, semantic layer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ultrawrap
Target entity description: Ultrawrap is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology-driven, semantic layer.
  • A. Mylar
    Mylar is a durable, transparent polyester film widely used for packaging, insulation, and protective applications.
  • B. Volax
    Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
  • C. T-Bag
    T-Bag is a sadistic and manipulative prison inmate and primary antagonist in the television series "Prison Break."
  • D. Olite
    Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
  • E. Spontex
    Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7759a048190815689298befa8d7 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbfc7a08190ab07f3d65aa79f16 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d0215888190b0e59c2584358a05 completed March 28, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_69c79d63b6dc8190b3b52ef6566ba490 completed March 28, 2026, 9:20 a.m.
Created at: March 27, 2026, 2:43 p.m.