Triple

T7879685
Position Surface form Disambiguated ID Type / Status
Subject Tema (Ga) E182944 entity
Predicate associatedWith P37 FINISHED
Object Tema Harbour E182928 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: Tema Harbour | Statement: [Tema (Ga), associatedWith, Tema Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tema Harbour
Context triple: [Tema (Ga), associatedWith, Tema Harbour]
  • A. Tema Harbour chosen
    Tema Harbour is a major seaport and industrial hub on Ghana’s Atlantic coast, serving as one of the country’s primary gateways for international maritime trade.
  • B. Harborland
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • C. The Harbour
    The Harbour is a creative work by Croatian illustrator, animator, and filmmaker Milan Trenc, known for his distinctive, surreal visual style.
  • D. Harbourside
    Harbourside is Bristol’s regenerated waterfront district, known for its cultural attractions, restaurants, and scenic views along the city’s historic docks.
  • E. Stage Harbor
    Stage Harbor is a scenic natural harbor in Chatham, Massachusetts, known for its sheltered waters, boating, and classic Cape Cod coastal views.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39be7ab88190affcd353a0cd37fa completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc561d31888190bae66fb009ace1a1 completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:57 p.m.