Triple

T21802601
Position Surface form Disambiguated ID Type / Status
Subject LSP PDU E538272 entity
Predicate associatedWithAlgorithm P145700 FINISHED
Object Dijkstra shortest path first NE NERFINISHED

How this triple was built (3 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 shortest path first | Statement: [LSP PDU, associatedWithAlgorithm, Dijkstra shortest path first]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dijkstra shortest path first
Context triple: [LSP PDU, associatedWithAlgorithm, Dijkstra shortest path first]
  • A. Dijkstra's shortest path algorithm chosen
    Dijkstra's shortest path algorithm is a classic graph algorithm that efficiently computes the minimum-cost paths from a single source vertex to all other vertices in a weighted graph with non-negative edge weights.
  • B. Dijkstra
    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.
  • C. Floyd–Warshall algorithm
    The Floyd–Warshall algorithm is a classic dynamic programming method in computer science for efficiently computing shortest paths between all pairs of vertices in a weighted graph, even when negative edge weights are present.
  • D. Bellman–Ford algorithm
    The Bellman–Ford algorithm is a graph shortest-path algorithm that can handle negative edge weights and detect negative cycles, often used in routing and network optimization.
  • E. Fleury's algorithm
    Fleury's algorithm is a classical graph-theoretic procedure for systematically finding an Eulerian trail by repeatedly choosing edges that are not bridges unless necessary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAlgorithm
Context triple: [LSP PDU, associatedWithAlgorithm, Dijkstra shortest path first]
  • A. associatedWithStrategy
    Indicates that an entity has a connection or involvement with a particular strategy, such as contributing to, being guided by, or aligned with that strategy.
  • B. associatedWithOperator
    Indicates that an entity has a relationship, connection, or linkage to a specific operator (such as a service, system, or organization) involved in its operation or management.
  • C. associatedWithBlock
    Indicates a relationship where an entity is linked or connected to a specific block, typically as part of its context, structure, or grouping.
  • D. associatedWithRule
    Indicates that an entity is linked or connected to a specific rule, such as being governed, constrained, or defined by that rule.
  • E. associatedWithAssociation
    Indicates a relationship where an entity is linked or connected to a particular association or organization.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0780062688190a6c3a2a0364f0f77 completed April 28, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69e6be751ce881909badced245ef76c7 completed April 21, 2026, 12:01 a.m.
PDg Predicate description generation batch_69e6c3a2898881909748935cf92f898c completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 6:53 p.m.