Triple

T371657
Position Surface form Disambiguated ID Type / Status
Subject IEEE/RSJ International Conference on Intelligent Robots and Systems E8282 entity
Predicate sponsoredBy P67 FINISHED
Object RSJ
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
E47201 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: RSJ | Statement: [IEEE/RSJ International Conference on Intelligent Robots and Systems, sponsoredBy, RSJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSJ
Context triple: [IEEE/RSJ International Conference on Intelligent Robots and Systems, sponsoredBy, RSJ]
  • A. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • B. RSN
    RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
  • C. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • D. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • E. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • 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: RSJ
Triple: [IEEE/RSJ International Conference on Intelligent Robots and Systems, sponsoredBy, RSJ]
Generated description
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RSJ
Target entity description: RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • A. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • B. RSN
    RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
  • C. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • D. TJSJ
    TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
  • E. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec00785481908551fc3571fcca47 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f0a78c748190ae5e64919f1d6501 completed March 1, 2026, 7:54 a.m.
NEDg Description generation batch_69a3f0fc6984819092d92f76055d3f19 completed March 1, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_69a3f16c66a081909a449fc3b606aaf9 completed March 1, 2026, 7:57 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.