Triple

T9651482
Position Surface form Disambiguated ID Type / Status
Subject Natalia Republic E233343 entity
Predicate port P1763 FINISHED
Object Port Natal E228167 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: Port Natal | Statement: [Natalia Republic, port, Port Natal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Natal
Context triple: [Natalia Republic, port, Port Natal]
  • A. Port Natal chosen
    Port Natal is the historical name for the South African port city of Durban, a major harbor and commercial center on the Indian Ocean coast.
  • B. Port Morant
    Port Morant is a coastal town in eastern Jamaica known historically as one of the island’s early ports and plantation centers.
  • C. Port Nicholson
    Port Nicholson is the large natural harbour on the southern tip of New Zealand’s North Island that forms the setting for the city and port of Wellington.
  • D. Port Nolloth
    Port Nolloth is a small coastal town in South Africa’s Northern Cape, known historically as a harbor for copper and diamond exports and today as a quiet fishing and tourism destination.
  • E. Marsh Harbour
    Marsh Harbour is the principal commercial and transportation hub of Great Abaco in the Bahamas, known for its marinas, boating activities, and role as a gateway to the Abaco Islands.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9baf9a1c819098c407ea7d42e6d1 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826c91388190b82112c2ca1eae7e completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.