Triple

T2322473
Position Surface form Disambiguated ID Type / Status
Subject Exuma E48212 entity
Predicate largestSettlement P163 FINISHED
Object George Town E256663 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: George Town | Statement: [Exuma, largestSettlement, George Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Town
Context triple: [Exuma, largestSettlement, George Town]
  • A. George Town
    George Town is the main financial and commercial hub of the Cayman Islands, known for its offshore banking industry and Caribbean port.
  • B. George Town chosen
    George Town is the main settlement and administrative center of Great Exuma Island in The Bahamas, known for its role as a hub for boating and tourism in the Exuma Cays.
  • C. Penang
    Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
  • D. Johor Bahru
    Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
  • E. Port Dickson
    Port Dickson is a coastal resort town in Malaysia known for its beaches and seaside tourism along the Strait of Malacca.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96139e688190847bfa872bd08ed4 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.