Triple

T9896735
Position Surface form Disambiguated ID Type / Status
Subject Nanjing Normal University E182193 entity
Predicate shortName P43 FINISHED
Object NNU
NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
 E828272 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: NNU | Statement: [Nanjing Normal University, shortName, NNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NNU
Context triple: [Nanjing Normal University, shortName, NNU]
  • A. NNS
    NNS is the commonly used abbreviation for Newport News Shipbuilding, a major American shipyard known for constructing U.S. Navy aircraft carriers and submarines.
  • B. UNN
    UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
  • C. UNNC
    UNNC is the University of Nottingham Ningbo China, a Sino-foreign joint university located in Ningbo, Zhejiang Province, offering British-style higher education in China.
  • D. NUN
    NUN is the IATA airport code for Saufley Field, a military airfield near Pensacola, Florida.
  • E. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • 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: NNU
Triple: [Nanjing Normal University, shortName, NNU]
Generated description
NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NNU
Target entity description: NNU is a comprehensive public university in Nanjing, China, known for its strong programs in teacher education, humanities, and sciences.
  • A. NNS
    NNS is the commonly used abbreviation for Newport News Shipbuilding, a major American shipyard known for constructing U.S. Navy aircraft carriers and submarines.
  • B. UNN
    UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
  • C. UNNC
    UNNC is the University of Nottingham Ningbo China, a Sino-foreign joint university located in Ningbo, Zhejiang Province, offering British-style higher education in China.
  • D. NUN
    NUN is the IATA airport code for Saufley Field, a military airfield near Pensacola, Florida.
  • E. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ab15f881909f75a8e01051dbc4 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1355888190baf9846815801e92 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ec31e50081909edfd62308ca4af0 completed April 5, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69d1ece816548190825386ad48449df4 completed April 5, 2026, 5:02 a.m.
Created at: March 30, 2026, 8:40 p.m.