Triple

T106027
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Japan E2138 entity
Predicate abbreviation P43 FINISHED
Object SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
 E10249 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: SCJ | Statement: [Supreme Court of Japan, abbreviation, SCJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCJ
Context triple: [Supreme Court of Japan, abbreviation, SCJ]
  • A. SJC
    SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
  • B. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • C. New Court
    New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
  • D. USCP
    USCP is the federal law enforcement agency responsible for protecting the U.S. Capitol complex, its members, staff, and visitors.
  • E. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • 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: SCJ
Triple: [Supreme Court of Japan, abbreviation, SCJ]
Generated description
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCJ
Target entity description: SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
  • A. SJC
    SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
  • B. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • C. New Court
    New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
  • D. USCP
    USCP is the federal law enforcement agency responsible for protecting the U.S. Capitol complex, its members, staff, and visitors.
  • E. SCC
    SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256c96e5481908c67f69e99978292 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c1f48608190905a83f369bf1e56 completed Feb. 28, 2026, 4:16 a.m.
NEDg Description generation batch_69a26e73039481908237b43ed0d7e5b7 completed Feb. 28, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69a2748594b0819092da9977b209b5fd completed Feb. 28, 2026, 4:52 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.