Triple

T23143436
Position Surface form Disambiguated ID Type / Status
Subject EP Kings E577522 entity
Predicate basedIn P40 FINISHED
Object Port Elizabeth NE NERFINISHED

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: Port Elizabeth | Statement: [EP Kings, basedIn, Port Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Elizabeth
Context triple: [EP Kings, basedIn, Port Elizabeth]
  • A. Port Elizabeth chosen
    Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
  • B. Port Elizabeth
    Port Elizabeth is the main town and harbor on the Caribbean island of Bequia in Saint Vincent and the Grenadines, known for its yachting, beaches, and relaxed island atmosphere.
  • C. Plettenberg Bay
    Plettenberg Bay is a popular coastal resort town on South Africa’s Garden Route, known for its beaches, marine life, and scenic surroundings.
  • D. Uitenhage
    Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
  • E. Mossel Bay
    Mossel Bay is a coastal town and popular tourist destination on South Africa’s Garden Route, known for its beaches, mild climate, and maritime history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecc3710819088ac5d72dad0459a completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.