Triple

T3182090
Position Surface form Disambiguated ID Type / Status
Subject Yokohama National University E66611 entity
Predicate abbreviation P43 FINISHED
Object YNU
YNU is a national research university in Yokohama, Japan, known for its programs in engineering, economics, business, and urban innovation.
 E334198 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: YNU | Statement: [Yokohama National University, abbreviation, YNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YNU
Context triple: [Yokohama National University, abbreviation, YNU]
  • A. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • B. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • C. UY
    UY is the two-letter ISO 3166-1 alpha-2 country code assigned to Uruguay.
  • D. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • E. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • 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: YNU
Triple: [Yokohama National University, abbreviation, YNU]
Generated description
YNU is a national research university in Yokohama, Japan, known for its programs in engineering, economics, business, and urban innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YNU
Target entity description: YNU is a national research university in Yokohama, Japan, known for its programs in engineering, economics, business, and urban innovation.
  • A. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • B. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • C. UY
    UY is the two-letter ISO 3166-1 alpha-2 country code assigned to Uruguay.
  • D. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • E. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bd07888190b680eace8290d821 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2360079e4819085ee8b6553e3da02 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b2372a54a481908a4a954b8986aad7 completed March 12, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69b23806a3c8819096069982b3612730 completed March 12, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:06 p.m.