Triple

T11098710
Position Surface form Disambiguated ID Type / Status
Subject Fano plane E262444 entity
Predicate hasIndependenceNumberOfPointGraph P97261 FINISHED
Object 3 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: 3 | Statement: [Fano plane, hasIndependenceNumberOfPointGraph, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndependenceNumberOfPointGraph
Context triple: [Fano plane, hasIndependenceNumberOfPointGraph, 3]
  • A. hasNumberOfPoints
    Indicates that an entity is associated with a specific count of points it possesses or comprises.
  • B. numberOfIndependentEquations
    Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
  • C. verticesInMinimalTriangulation
    Indicates that the related vertices are exactly those that appear in at least one minimal triangulation of a given graph or structure.
  • D. numberOfIndependentMatrices
    Indicates the count of matrices in a set that are linearly independent from each other.
  • E. edgesInMinimalTriangulation
    Indicates that the specified edges are exactly those that appear in at least one minimal triangulation (chordal completion with the fewest added edges) of a given graph.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0c46308190889b94c23ebaca62 completed April 9, 2026, 12:22 p.m.
PD Predicate disambiguation batch_69d7441aa3548190b92dbde57841c135 completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750ca52ec8190a559432a5de106fd completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:27 p.m.