Triple

T3910004
Position Surface form Disambiguated ID Type / Status
Subject Daisan Shōhōtei E87297 entity
Predicate nativeName P15 FINISHED
Object 第三小法廷 E88371 NE FINISHED

How this triple was built (2 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: 第三小法廷 | Statement: [Daisan Shōhōtei, nativeName, 第三小法廷]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 第三小法廷
Context triple: [Daisan Shōhōtei, nativeName, 第三小法廷]
  • A. Third Civil Division chosen
    The Third Civil Division is a specialized chamber of the Supreme People’s Court of China responsible for handling certain categories of civil and commercial cases at the highest judicial level.
  • B. Third Court
    Third Court is one of the historic quadrangles of St John’s College, Cambridge, known for its traditional collegiate architecture and role in the daily life of the college.
  • C. Third Court
    Third Court is one of the main quadrangles of Magdalene College, Cambridge, forming part of its historic collegiate layout.
  • D. Third Court
    Third Court is a historic quadrangle within Jesus College, Cambridge, known for its traditional collegiate architecture and central role in college life.
  • E. Third Court
    Third Court is one of the historic courtyards of Christ's College, Cambridge, forming part of the college's traditional architectural layout and communal space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed3408f881908c3cffc5dbfe3950 completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.