Triple

T5561377
Position Surface form Disambiguated ID Type / Status
Subject SWAP E145772 entity
Predicate collaboratesWith P37 FINISHED
Object PEPSSI E145773 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: PEPSSI | Statement: [SWAP, collaboratesWith, PEPSSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEPSSI
Context triple: [SWAP, collaboratesWith, PEPSSI]
  • A. PEPSSI chosen
    PEPSSI is a particle spectrometer aboard NASA’s New Horizons spacecraft designed to measure energetic ions and electrons in the outer solar system.
  • B. PEPs
    PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
  • C. PSS
    PSS is the French and Italian abbreviation for the Social Democratic Party of Switzerland, a major center-left political party advocating social justice and welfare policies.
  • D. PSI
    PSI is the acronym commonly used for the Italian Socialist Party, a historic socialist political party in Italy.
  • E. PSI
    PSI is a major Swiss research institute specializing in natural and engineering sciences, particularly known for its large-scale facilities in particle physics, materials science, and energy research.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02019c6748190aeefb86f489f726a completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0284525148190a7bf88c22723552a completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:36 p.m.