Triple

T6033917
Position Surface form Disambiguated ID Type / Status
Subject ROOT E134370 entity
Predicate hasComponent P35 FINISHED
Object RDataFrame E134370 NE 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: RDataFrame | Statement: [ROOT, hasComponent, RDataFrame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RDataFrame
Context triple: [ROOT, hasComponent, RDataFrame]
  • A. ROOT chosen
    ROOT is a widely used object-oriented data analysis framework and file format developed at CERN for storing, processing, and visualizing large volumes of high-energy physics data.
  • B. BR-DF
    BR-DF is the ISO 3166-2 code representing Brazil’s Federal District, which contains the national capital, Brasília.
  • C. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • D. daa
    daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
  • E. RDA
    RDA (Resource Description and Access) is a modern international cataloguing standard used by libraries to describe and provide access to information resources in both digital and physical formats.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b220608190b156be95632cf3b3 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11388aec881908408d5844c96ea2d completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.