Triple

T15186361
Position Surface form Disambiguated ID Type / Status
Subject Unified Judicial System of Pennsylvania E362885 entity
Predicate abbreviation P43 FINISHED
Object UJS
UJS is the commonly used acronym for Pennsylvania’s Unified Judicial System, which encompasses the state’s entire court system and related judicial agencies.
E1142286 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: UJS | Statement: [Unified Judicial System of Pennsylvania, abbreviation, UJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UJS
Context triple: [Unified Judicial System of Pennsylvania, abbreviation, UJS]
  • A. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • B. UJC
    UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
  • C. JUS
    JUS is the abbreviation for Jaamacadda Ummadda Soomaaliyeed, the national university of Somalia.
  • D. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • E. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • 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: UJS
Triple: [Unified Judicial System of Pennsylvania, abbreviation, UJS]
Generated description
UJS is the commonly used acronym for Pennsylvania’s Unified Judicial System, which encompasses the state’s entire court system and related judicial agencies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UJS
Target entity description: UJS is the commonly used acronym for Pennsylvania’s Unified Judicial System, which encompasses the state’s entire court system and related judicial agencies.
  • A. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • B. UJC
    UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
  • C. JUS
    JUS is the abbreviation for Jaamacadda Ummadda Soomaaliyeed, the national university of Somalia.
  • D. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • E. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067995fc8190b048f15086bd42f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec895b59c81908a09f8393a35aa13 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec9ece2fc8190811e83185cdb4dfc completed May 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69fecc58d7b0819082090b6205b77b16 completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:09 a.m.