Triple

T21404337
Position Surface form Disambiguated ID Type / Status
Subject Shyne E527991 entity
Predicate residence P75 FINISHED
Object Belize City NE NERFINISHED

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: Belize City | Statement: [Shyne, residence, Belize City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belize City
Context triple: [Shyne, residence, Belize City]
  • A. Belize City chosen
    Belize City is the largest city and former capital of Belize, serving as the country's main commercial and cultural hub on the Caribbean coast.
  • B. Belize City and Belmopan
    Belize City and Belmopan are the largest city and the capital of Belize, respectively, serving as the country’s main urban and administrative centers.
  • C. San Ignacio, Belize
    San Ignacio, Belize is a popular inland town in western Belize known as a gateway to Mayan ruins, caves, and jungle adventures in the Cayo District.
  • D. San Pedro Sula
    San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
  • E. Nagua
    Nagua is a coastal city in the northeastern Dominican Republic, known as an important urban and commercial center in the Cibao region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1ade4188190aca09bbbf2c2db87 completed April 22, 2026, 11:31 a.m.
Created at: April 16, 2026, 5:30 p.m.