Triple

T1790142
Position Surface form Disambiguated ID Type / Status
Subject Foreign Trade University E39476 entity
Predicate shortName P43 FINISHED
Object FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
 E197760 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: FTU | Statement: [Foreign Trade University, shortName, FTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FTU
Context triple: [Foreign Trade University, shortName, FTU]
  • A. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • B. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • C. FRT
    FRT is the stock ticker symbol for Federal Realty Investment Trust, a publicly traded real estate investment trust specializing in high-quality retail and mixed-use properties.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • 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: FTU
Triple: [Foreign Trade University, shortName, FTU]
Generated description
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FTU
Target entity description: FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • A. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • B. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • C. FRT
    FRT is the stock ticker symbol for Federal Realty Investment Trust, a publicly traded real estate investment trust specializing in high-quality retail and mixed-use properties.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6512804c8190a5743c10bd37f83f completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9aa10b881909923b8d0f3a30ee6 completed March 8, 2026, 4:54 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb31430819083d033a3890eba49 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:32 p.m.