Triple

T3193023
Position Surface form Disambiguated ID Type / Status
Subject Yokohama City University E66867 entity
Predicate shortName P43 FINISHED
Object YCU
YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
 E335431 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: YCU | Statement: [Yokohama City University, shortName, YCU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YCU
Context triple: [Yokohama City University, shortName, YCU]
  • A. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • B. UoY
    UoY is the commonly used abbreviation for the University of York, a research-intensive university located in York, England.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. YC
    YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
  • E. MX-YUC
    MX-YUC is the UN/LOCODE designation for the Mexican state of Yucatán, used in international trade and transport logistics.
  • 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: YCU
Triple: [Yokohama City University, shortName, YCU]
Generated description
YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YCU
Target entity description: YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
  • A. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • B. UoY
    UoY is the commonly used abbreviation for the University of York, a research-intensive university located in York, England.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. YC
    YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
  • E. MX-YUC
    MX-YUC is the UN/LOCODE designation for the Mexican state of Yucatán, used in international trade and transport logistics.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada713bf0c81908f3143f45f63a5ad completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba8a8b48190824dac45e37217cc completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d13ef908190b7b54d653e4d1ea4 completed March 12, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69b24db9af3881909d3d89ad985356c6 completed March 12, 2026, 5:23 a.m.
Created at: March 8, 2026, 3:07 p.m.