Triple

T12562097
Position Surface form Disambiguated ID Type / Status
Subject SILE E295374 entity
Predicate aimsToImproveOn P61244 FINISHED
Object rigidity of traditional TeX workflows 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: rigidity of traditional TeX workflows | Statement: [SILE, aimsToImproveOn, rigidity of traditional TeX workflows]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimsToImproveOn
Context triple: [SILE, aimsToImproveOn, rigidity of traditional TeX workflows]
  • A. seeksToImprove chosen
    Indicates an intentional effort by one entity to make another entity or condition better than its current state.
  • B. improvesOn
    Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
  • C. claimsToImprove
    Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
  • D. aimsToDevelop
    Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
  • E. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • F. None of above.

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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9550d84908190aea0f50055f6d92e completed April 10, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69d95414692881909c52a1de7d224b44 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 11:48 p.m.