Triple

T3774459
Position Surface form Disambiguated ID Type / Status
Subject Raad van State E83274 entity
Predicate shortName P43 FINISHED
Object RvS
RvS is the commonly used abbreviation for the Dutch Council of State, the highest administrative court and advisory body to the government and parliament in the Netherlands.
 E387233 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: RvS | Statement: [Raad van State, shortName, RvS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RvS
Context triple: [Raad van State, shortName, RvS]
  • A. RVL
    RVL is the commonly used abbreviation for the Raritan Valley Line, a commuter rail service in New Jersey operated by NJ Transit.
  • B. RUVNN
    RUVNN is the international port code assigned to the seaport of Vanino in Russia.
  • C. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • D. RSL
    RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
  • E. Les Rivalités
    Les Rivalités is a section of Honoré de Balzac’s multi-part novel cycle Scènes de la vie de province, depicting the social tensions and conflicts within provincial French society.
  • 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: RvS
Triple: [Raad van State, shortName, RvS]
Generated description
RvS is the commonly used abbreviation for the Dutch Council of State, the highest administrative court and advisory body to the government and parliament in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RvS
Target entity description: RvS is the commonly used abbreviation for the Dutch Council of State, the highest administrative court and advisory body to the government and parliament in the Netherlands.
  • A. RvK
    RvK is the Dutch Council for the Kingdom, a constitutional advisory body that deals with matters concerning the Kingdom of the Netherlands and its constituent countries.
  • B. RVL
    RVL is the commonly used abbreviation for the Raritan Valley Line, a commuter rail service in New Jersey operated by NJ Transit.
  • C. RUVNN
    RUVNN is the international port code assigned to the seaport of Vanino in Russia.
  • D. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • E. RSL
    RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc594c50819099ab5ac1b82f61a6 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52ebd988190b6e3a7d8069b74be completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e64663b881908469456b15bc2687 completed March 14, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea0de7708190abe4be1c8af3cd71 completed March 14, 2026, 4:54 a.m.
Created at: March 8, 2026, 3:36 p.m.