Triple

T16389797
Position Surface form Disambiguated ID Type / Status
Subject Otago Harbour E398018 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Portobello E1205264 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: Portobello | Statement: [Otago Harbour, hasNearbySettlement, Portobello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portobello
Context triple: [Otago Harbour, hasNearbySettlement, Portobello]
  • A. Portobello
    Portobello is a coastal suburb of Edinburgh, Scotland, known for its sandy beach and historic promenade along the Firth of Forth.
  • B. Portobello chosen
    Portobello is a small coastal settlement on New Zealand’s Otago Peninsula, known for its scenic harbor views and proximity to local wildlife and nature reserves.
  • C. Morel
    Morel is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world.
  • D. Pizitz
    Pizitz was a prominent regional department store chain based in Birmingham, Alabama, known for its role as a major Southern retailer in the 20th century.
  • E. Gomba
    Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.