Triple

T21422573
Position Surface form Disambiguated ID Type / Status
Subject Dutch Tax and Customs Administration E528471 entity
Predicate usesIdentificationNumber P3732 FINISHED
Object RSIN
RSIN is a Dutch legal entities and partnerships identification number used for tax and administrative purposes.
 E1482996 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: RSIN | Statement: [Dutch Tax and Customs Administration, usesIdentificationNumber, RSIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSIN
Context triple: [Dutch Tax and Customs Administration, usesIdentificationNumber, RSIN]
  • A. RSB
    RSB is a Moroccan professional football club based in Berkane, known for its strong performances in domestic and African competitions.
  • B. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • C. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • D. RS
    RS is the official vehicle registration code for the Brazilian state of Rio Grande do Sul.
  • E. RS
    RS is the common abbreviation for Real Sociedad, a professional football club based in San Sebastián, Spain.
  • 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: RSIN
Triple: [Dutch Tax and Customs Administration, usesIdentificationNumber, RSIN]
Generated description
RSIN is a Dutch legal entities and partnerships identification number used for tax and administrative purposes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSIN
Target entity description: RSIN is a Dutch legal entities and partnerships identification number used for tax and administrative purposes.
  • A. RSB
    RSB is a Moroccan professional football club based in Berkane, known for its strong performances in domestic and African competitions.
  • B. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • C. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • D. RS
    RS is the official vehicle registration code for the Brazilian state of Rio Grande do Sul.
  • E. RS
    RS is the common abbreviation for Real Sociedad, a professional football club based in San Sebastián, Spain.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d392e08190b7f378005afc9026 completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2a5a6488190a753c0359d2702f3 completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c31840648190bde2d313dd0f02e4 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c361f5b481908f8c5215381a7c98 completed May 17, 2026, 1:32 p.m.
Created at: April 16, 2026, 5:48 p.m.