Triple

T18439211
Position Surface form Disambiguated ID Type / Status
Subject Jilin University E450480 entity
Predicate shortName P43 FINISHED
Object JLU
JLU is the commonly used abbreviation for Jilin University, a major national research university located in Changchun, China.
 E1324179 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: JLU | Statement: [Jilin University, shortName, JLU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JLU
Context triple: [Jilin University, shortName, JLU]
  • A. JLU
    JLU is a public research university located in Giessen, Germany, known for its strong programs in the natural sciences, life sciences, and humanities.
  • B. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • C. J-Lu
    J-Lu is a music producer best known for working on the track "Cockiness (Love It)."
  • D. JL
    JL is the common abbreviation for the Justice League, a team of iconic DC Comics superheroes such as Superman, Batman, and Wonder Woman.
  • E. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of 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: JLU
Triple: [Jilin University, shortName, JLU]
Generated description
JLU is the commonly used abbreviation for Jilin University, a major national research university located in Changchun, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JLU
Target entity description: JLU is the commonly used abbreviation for Jilin University, a major national research university located in Changchun, China.
  • A. JLU
    JLU is a public research university located in Giessen, Germany, known for its strong programs in the natural sciences, life sciences, and humanities.
  • B. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • C. J-Lu
    J-Lu is a music producer best known for working on the track "Cockiness (Love It)."
  • D. JL
    JL is the common abbreviation for the Justice League, a team of iconic DC Comics superheroes such as Superman, Batman, and Wonder Woman.
  • E. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0b54224819084e67182674cfb83 completed May 13, 2026, 3:32 a.m.
NEDg Description generation batch_6a03f2b7da408190b58c82fd5422a3c0 completed May 13, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a03f32845348190963abbf6a039d2c6 completed May 13, 2026, 3:42 a.m.
Created at: April 10, 2026, 11:30 a.m.