Triple

T5679551
Position Surface form Disambiguated ID Type / Status
Subject ConCourt E125166 entity
Predicate shortName P43 FINISHED
Object ConCourt E125166 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: ConCourt | Statement: [ConCourt, shortName, ConCourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ConCourt
Context triple: [ConCourt, shortName, ConCourt]
  • A. ConCourt chosen
    ConCourt is the highest court in South Africa on constitutional matters, renowned for safeguarding the country’s constitutional democracy and human rights.
  • B. Base Court
    Base Court is the large outer courtyard at Hampton Court Palace that historically served as the main entrance and lodging area for courtiers and visitors.
  • C. Figure Court
    Figure Court is the central ceremonial courtyard of the Royal Hospital Chelsea in London, known for its formal layout and historic architectural setting.
  • D. Front Court
    Front Court is the historic main courtyard of Emmanuel College, Cambridge, forming the central architectural and social focus of the college.
  • E. Front Court
    Front Court is the historic main quadrangle of King's College, Cambridge, known for its iconic collegiate architecture and central role in college life.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023960ecc819080a97a37be80c01f completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dbdd91c8190b2a36d3b2630aa9f completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:44 p.m.