Triple

T21604021
Position Surface form Disambiguated ID Type / Status
Subject MPI CPfS E533122 entity
Predicate shortName P43 FINISHED
Object MPI CPfS NE NERFINISHED

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: MPI CPfS | Statement: [MPI CPfS, shortName, MPI CPfS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPI CPfS
Context triple: [MPI CPfS, shortName, MPI CPfS]
  • A. MPI CPfS chosen
    MPI CPfS is a research institute of the Max Planck Society in Dresden, Germany, specializing in fundamental studies of solid-state chemistry and physics, particularly quantum materials and novel electronic phenomena.
  • B. CPS
    CPS is the three-letter IATA airport code for St. Louis Downtown Airport, a regional airport serving the St. Louis metropolitan area.
  • C. CPS
    CPS is the principal public agency in England and Wales responsible for prosecuting criminal cases investigated by the police.
  • D. CPS
    CPS is the commonly used abbreviation for Chicago Public Schools, the third-largest school district in the United States.
  • E. MPI
    MPI is a global measure that assesses poverty by considering multiple deprivations in areas such as health, education, and living standards rather than income alone.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e3e18c8190b9e0626c7d16805b completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.