Triple

T3744646
Position Surface form Disambiguated ID Type / Status
Subject Dijkstra E79781 entity
Predicate familyName P18 FINISHED
Object Dijkstra E79781 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: Dijkstra | Statement: [Dijkstra, familyName, Dijkstra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dijkstra
Context triple: [Dijkstra, familyName, Dijkstra]
  • A. Dijkstra chosen
    Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
  • B. Eppstein
    Eppstein is a small historic town in the German state of Hesse, known for its medieval castle and scenic location in the Taunus mountains.
  • C. Floyd
    Floyd is a masculine given name of Welsh origin, commonly used in English-speaking countries.
  • D. DSA
    DSA (Digital Signature Algorithm) is a widely used public-key cryptographic standard designed for creating and verifying digital signatures to ensure data integrity and authentication.
  • E. BFS
    BFS is the three-letter IATA airport code assigned to Belfast International Airport in Northern Ireland.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb58c9048190a055d1f4a7e6b699 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db29b2288190932923a6bf1a7e8e completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.