Triple

T5697666
Position Surface form Disambiguated ID Type / Status
Subject Port of Kingston E125578 entity
Predicate cityServed P82 FINISHED
Object Spanish Town E47152 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: Spanish Town | Statement: [Port of Kingston, cityServed, Spanish Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish Town
Context triple: [Port of Kingston, cityServed, Spanish Town]
  • A. Spanish Town chosen
    Spanish Town is a historic Jamaican city that served as the island’s former capital and remains an important cultural and administrative center.
  • B. Ciudad Vieja
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
  • C. San Pedro Town
    San Pedro Town is a popular coastal resort town on Ambergris Caye in Belize, known for its beaches, tourism, and access to the Belize Barrier Reef.
  • D. Habana Vieja
    Habana Vieja is the historic old quarter of Havana, Cuba, renowned for its colonial architecture, cobblestone streets, and vibrant cultural life.
  • E. La Romana
    La Romana is a prominent city in the Dominican Republic known for its significant Afro-Dominican population, industrial activity, and role as a gateway to nearby tourist destinations.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240d6c0c8190bf970c7652fd9573 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5996a08190860cb5fab57c31b5 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.