Triple

T3657994
Position Surface form Disambiguated ID Type / Status
Subject Rijkswaterstaat E77579 entity
Predicate shortName P43 FINISHED
Object RWS
RWS is the commonly used abbreviation for Rijkswaterstaat, the Dutch government agency responsible for the design, construction, management, and maintenance of the main infrastructure facilities in the Netherlands.
 E377320 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: RWS | Statement: [Rijkswaterstaat, shortName, RWS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RWS
Context triple: [Rijkswaterstaat, shortName, RWS]
  • A. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • B. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • C. RSC
    RSC is the commonly used abbreviation for the Royal Society of Canada, the national academy dedicated to promoting scholarly, scientific, and artistic excellence in Canada.
  • D. WST
    WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
  • E. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • 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: RWS
Triple: [Rijkswaterstaat, shortName, RWS]
Generated description
RWS is the commonly used abbreviation for Rijkswaterstaat, the Dutch government agency responsible for the design, construction, management, and maintenance of the main infrastructure facilities in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RWS
Target entity description: RWS is the commonly used abbreviation for Rijkswaterstaat, the Dutch government agency responsible for the design, construction, management, and maintenance of the main infrastructure facilities in the Netherlands.
  • A. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • B. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • C. RSC
    RSC is the commonly used abbreviation for the Royal Society of Canada, the national academy dedicated to promoting scholarly, scientific, and artistic excellence in Canada.
  • D. WST
    WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
  • E. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d36c1c8190920397a75de4c47d completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4884071c881909daae2f3c510d399 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48ce33a208190bd7cf894a11497a1 completed March 13, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69b4aed7f4008190b5adbf3a89f4b5bd completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:24 p.m.