Triple

T11793667
Position Surface form Disambiguated ID Type / Status
Subject Battle of Marsaglia E280450 entity
Predicate location P40 FINISHED
Object Marsaglia
Marsaglia is a locality in northwestern Italy historically noted as the site of the 1693 Battle of Marsaglia during the Nine Years' War.
 E946953 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: Marsaglia | Statement: [Battle of Marsaglia, location, Marsaglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marsaglia
Context triple: [Battle of Marsaglia, location, Marsaglia]
  • A. Sobol
    Sobol is a line of light commercial vehicles produced by the Russian automotive manufacturer GAZ Group.
  • B. MersenneTwister
    MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • C. Miller algorithm
    The Miller algorithm is an efficient computational method used in elliptic curve cryptography to evaluate pairings such as the Weil and Tate pairings.
  • D. Monte Carlo method
    The Monte Carlo method is a computational technique that uses random sampling to approximate numerical results, especially for complex integrals, simulations, and probabilistic systems.
  • E. 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.
  • 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: Marsaglia
Triple: [Battle of Marsaglia, location, Marsaglia]
Generated description
Marsaglia is a locality in northwestern Italy historically noted as the site of the 1693 Battle of Marsaglia during the Nine Years' War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marsaglia
Target entity description: Marsaglia is a locality in northwestern Italy historically noted as the site of the 1693 Battle of Marsaglia during the Nine Years' War.
  • A. Sobol
    Sobol is a line of light commercial vehicles produced by the Russian automotive manufacturer GAZ Group.
  • B. MersenneTwister
    MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • C. Miller algorithm
    The Miller algorithm is an efficient computational method used in elliptic curve cryptography to evaluate pairings such as the Weil and Tate pairings.
  • D. Monte Carlo method
    The Monte Carlo method is a computational technique that uses random sampling to approximate numerical results, especially for complex integrals, simulations, and probabilistic systems.
  • E. 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.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.