Triple

T3043277
Position Surface form Disambiguated ID Type / Status
Subject Robert Tarjan E83180 entity
Predicate notableConcept P201 FINISHED
Object Fibonacci heap data structure E321043 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: Fibonacci heap data structure | Statement: [Robert Tarjan, notableConcept, Fibonacci heap data structure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fibonacci heap data structure
Context triple: [Robert Tarjan, notableConcept, Fibonacci heap data structure]
  • A. Fibonacci heap chosen
    A Fibonacci heap is an advanced data structure for implementing priority queues that supports very fast amortized running times for operations like insert and decrease-key, making it useful in algorithms such as Dijkstra’s shortest path.
  • B. union–find data structure
    The union–find data structure is an efficient algorithmic structure that maintains disjoint sets and supports fast union and find operations, widely used in graph algorithms such as Kruskal’s minimum spanning tree.
  • C. Marzullo's algorithm
    Marzullo's algorithm is a method for selecting the most likely correct time interval from multiple, possibly conflicting time sources, commonly used in clock synchronization systems.
  • D. splay tree
    A splay tree is a self-adjusting binary search tree data structure that moves frequently accessed elements closer to the root to optimize average access time.
  • E. B-tree
    A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b5ec5988190b8b6c95c743c6d1e completed March 8, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef43da8819094cd438c93c64c86 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.