Triple

T3491452
Position Surface form Disambiguated ID Type / Status
Subject Erasmus University Rotterdam E73739 entity
Predicate memberOf P10 FINISHED
Object VSNU
VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
 E363506 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: VSNU | Statement: [Erasmus University Rotterdam, memberOf, VSNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VSNU
Context triple: [Erasmus University Rotterdam, memberOf, VSNU]
  • A. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • B. VolSU
    VolSU is a public higher education and research institution located in Volgograd, Russia.
  • C. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • D. PNU
    PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • E. VP&S
    VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
  • 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: VSNU
Triple: [Erasmus University Rotterdam, memberOf, VSNU]
Generated description
VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VSNU
Target entity description: VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
  • A. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • B. VolSU
    VolSU is a public higher education and research institution located in Volgograd, Russia.
  • C. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • D. PNU
    PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • E. VP&S
    VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbaa720c8190af47b052cc66c225 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bf5d3c8190ae631a6114696e98 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b374354c0c8190ba46845904b76340 completed March 13, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69b374ad3bcc8190ac7d6e614eb696fa completed March 13, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:18 p.m.