Triple

T16747422
Position Surface form Disambiguated ID Type / Status
Subject Crossref E406991 entity
Predicate providesService P178 FINISHED
Object Crossref Event Data E406991 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: Crossref Event Data | Statement: [Crossref, providesService, Crossref Event Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crossref Event Data
Context triple: [Crossref, providesService, Crossref Event Data]
  • A. Crossref chosen
    Crossref is a nonprofit organization that provides persistent digital identifiers and metadata services for scholarly content to support reliable citation linking and research discovery.
  • B. InCites
    InCites is a research analytics platform that provides citation-based metrics and benchmarking tools to evaluate institutional and researcher performance.
  • C. DataCite
    DataCite is a global non-profit organization that provides persistent identifiers (DOIs) and related services to help the research community reliably identify, share, and cite research data and other research outputs.
  • D. Semantic Scholar
    Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
  • E. Publons
    Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2439848190a86a5bfc0702e2fe completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52033748190ae207d72d437236b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.