Triple

T11100261
Position Surface form Disambiguated ID Type / Status
Subject LF Energy E262482 entity
Predicate hasProject P14971 FINISHED
Object PowSyBl
PowSyBl is an open-source software framework for grid modeling and power system simulation, developed under the LF Energy umbrella to support advanced analysis and planning of electrical networks.
E904621 NE FINISHED

How this triple was built (4 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: PowSyBl | Statement: [LF Energy, hasProject, PowSyBl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PowSyBl
Context triple: [LF Energy, hasProject, PowSyBl]
  • A. PRISM probabilistic model checker
    PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
  • B. Monte Carlo tree search
    Monte Carlo tree search is a heuristic search algorithm that uses random sampling of game states to build and explore a search tree, enabling strong decision-making in complex domains like Go and other board games.
  • C. Temporal Logic of Actions
    Temporal Logic of Actions is a formal framework for specifying and reasoning about concurrent and distributed systems using temporal logic to describe system behaviors over time.
  • D. Monte Carlo
    Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
  • E. AIXI model
    The AIXI model is a theoretical framework for an idealized, maximally intelligent reinforcement learning agent that combines Solomonoff induction with sequential decision theory.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PowSyBl
Triple: [LF Energy, hasProject, PowSyBl]
Generated description
PowSyBl is an open-source software framework for grid modeling and power system simulation, developed under the LF Energy umbrella to support advanced analysis and planning of electrical networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PowSyBl
Target entity description: PowSyBl is an open-source software framework for grid modeling and power system simulation, developed under the LF Energy umbrella to support advanced analysis and planning of electrical networks.
  • A. PRISM probabilistic model checker
    PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
  • B. Monte Carlo tree search
    Monte Carlo tree search is a heuristic search algorithm that uses random sampling of game states to build and explore a search tree, enabling strong decision-making in complex domains like Go and other board games.
  • C. Temporal Logic of Actions
    Temporal Logic of Actions is a formal framework for specifying and reasoning about concurrent and distributed systems using temporal logic to describe system behaviors over time.
  • D. Monte Carlo
    Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
  • E. AIXI model
    The AIXI model is a theoretical framework for an idealized, maximally intelligent reinforcement learning agent that combines Solomonoff induction with sequential decision theory.
  • F. None of above. chosen

Provenance (5 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_69d79a29ee6c819092bc0da3f9255389 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7f9b46881909761ed448fa5ce6e completed April 18, 2026, 8:22 p.m.
NEDg Description generation batch_69e3f2cc9b7c8190bb5fd89f239917cf completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f4a37b6c81908ca63270d82579ae completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.