Triple

T1647759
Position Surface form Disambiguated ID Type / Status
Subject CSV E35620 entity
Predicate dataStructure P28890 FINISHED
Object table LITERAL FINISHED

How this triple was built (2 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: table | Statement: [CSV, dataStructure, table]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataStructure
Context triple: [CSV, dataStructure, table]
  • A. encodingStructure
    Indicates the structural scheme or format used to encode information or data.
  • B. dataStorage
    Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
  • C. dataModel
    Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
  • D. recordStructure chosen
    Indicates a relationship where an entity defines, organizes, or specifies the internal layout and components of a record or data structure.
  • E. storesDataType
    Indicates that an entity is designed to hold, manage, or persist information of a specified data type.
  • F. None of above.

Provenance (3 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaa0fbe984819084f8daee81ca9b67 completed March 6, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69a907ce4dd881909168a1e99505d4ec completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.