Triple

T2169684
Position Surface form Disambiguated ID Type / Status
Subject Nikolaj Bjørner E46992 entity
Predicate citations P37348 FINISHED
Object highly cited in automated reasoning community LITERAL 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: highly cited in automated reasoning community | Statement: [Nikolaj Bjørner, citations, highly cited in automated reasoning community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citations
Context triple: [Nikolaj Bjørner, citations, highly cited in automated reasoning community]
  • A. citation
    Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
  • B. citationBy
    Indicates that one work is cited or referenced by another work.
  • C. citationType
    Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
  • D. citesAs
    Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
  • E. citationNumber
    Indicates the specific numeric identifier assigned to a citation within a document or reference list.
  • F. None of above. chosen

Provenance (4 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abc153b22481908115e5f582c93f12 completed March 7, 2026, 6:10 a.m.
Created at: March 4, 2026, 7:45 p.m.