Triple

T18255237
Position Surface form Disambiguated ID Type / Status
Subject bioRxiv E437206 entity
Predicate namedAfter P63 FINISHED
Object arXiv (by analogy) 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: arXiv (by analogy) | Statement: [bioRxiv, namedAfter, arXiv (by analogy)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: arXiv (by analogy)
Context triple: [bioRxiv, namedAfter, arXiv (by analogy)]
  • A. arXiv chosen
    arXiv is an open-access repository of electronic preprints in fields such as physics, mathematics, computer science, and related disciplines, widely used by researchers to share and access scientific papers before formal peer-reviewed publication.
  • B. Semantic Scholar
    Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
  • C. The Winnower
    The Winnower is an 1848 realist painting by Jean-François Millet depicting a solitary peasant laborer winnowing grain, emblematic of his focus on rural working-class life.
  • D. CiteSeerX
    CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
  • E. INSPIRE-HEP
    INSPIRE-HEP is a leading digital library and information system for high-energy physics literature, providing comprehensive indexing, citation data, and research tools for the global particle physics community.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd84b3a481908bbc1a5e5034d397 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.