Triple

T12984074
Position Surface form Disambiguated ID Type / Status
Subject Jönköping University E321722 entity
Predicate hasAbbreviation P43 FINISHED
Object JU
JU is the common abbreviation for Jönköping University, a Swedish institution of higher education and research located in the city of Jönköping.
 E585904 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: JU | Statement: [Jönköping University, hasAbbreviation, JU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JU
Context triple: [Jönköping University, hasAbbreviation, JU]
  • A. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • B. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • C. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • D. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • E. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • 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: JU
Triple: [Jönköping University, hasAbbreviation, JU]
Generated description
JU is the common abbreviation for Jönköping University, a Swedish institution of higher education and research located in the city of Jönköping.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JU
Target entity description: JU is the common abbreviation for Jönköping University, a Swedish institution of higher education and research located in the city of Jönköping.
  • A. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • B. JU chosen
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • C. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • D. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • E. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • F. None of above.

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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5e3f208190abd2d4b4d5114834 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f4320881909d66eaa48f888fab completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dc31ec819093c89ff0a1ccbfa1 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6baacd7548190af5514923a0dee26 completed May 3, 2026, 3:02 a.m.
Created at: April 9, 2026, 8:39 p.m.