Triple

T10121855
Position Surface form Disambiguated ID Type / Status
Subject Lake Independence E223310 entity
Predicate locatedIn P40 FINISHED
Object Belize City E23808 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: Belize City | Statement: [Lake Independence, locatedIn, Belize City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belize City
Context triple: [Lake Independence, locatedIn, 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. San Pedro Sula
    San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
  • C. Puerto Barrios
    Puerto Barrios is a major Caribbean seaport city in eastern Guatemala that serves as an important commercial gateway for the country.
  • D. Guatemala City
    Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
  • E. Tegucigalpa
    Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:04 p.m.