Triple

T12382483
Position Surface form Disambiguated ID Type / Status
Subject Fem E295777 entity
Predicate stylizedAs P37510 FINISHED
Object FEM E478434 NE FINISHED

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: FEM | Statement: [Fem, stylizedAs, FEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FEM
Context triple: [Fem, stylizedAs, FEM]
  • A. finite element method chosen
    The finite element method is a numerical technique for solving complex engineering and physical problems by approximating solutions over discretized domains, widely used in structural analysis, heat transfer, fluid dynamics, and related fields.
  • B. The Finite Element Method: Linear Static and Dynamic Finite Element Analysis
    The Finite Element Method: Linear Static and Dynamic Finite Element Analysis is a foundational textbook that rigorously presents the theory and application of finite element techniques for solving linear static and dynamic problems in engineering and applied sciences.
  • C. FES
    FES is the abbreviated name commonly used for the Faculty of Economic Sciences, an academic institution focused on economics and related disciplines.
  • D. FMEP
    FMEP is the ICAO airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
  • E. FECM
    FECM is the U.S. Department of Energy office responsible for advancing technologies and policies related to fossil energy and carbon management, including carbon capture, utilization, and storage.
  • 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: stylizedAs
Context triple: [Fem, stylizedAs, FEM]
  • A. styledAs chosen
    Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
  • B. symbolicStyle
    Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
  • C. styleFor
    Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
  • D. usesAsStyleOf
    Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
  • E. characterStyle
    Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
  • F. None of above.

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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69d93ed256788190b704cad171a4824e completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.