Triple

T25247
Position Surface form Disambiguated ID Type / Status
Subject La Serena E503 entity
Predicate governedBy P46 FINISHED
Object Municipality of La Serena E503 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: Municipality of La Serena | Statement: [La Serena, governedBy, Municipality of La Serena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Municipality of La Serena
Context triple: [La Serena, governedBy, Municipality of La Serena]
  • A. La Serena chosen
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • B. Santiago
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • C. La Serena Cathedral
    La Serena Cathedral is a prominent Roman Catholic church and architectural landmark located in the historic center of La Serena, Chile.
  • D. Coquimbo Region
    Coquimbo Region is a region in northern Chile known for its clear skies, astronomical observatories, and coastal and semi-arid landscapes.
  • E. Livadia
    Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e5b531481909078feeee5cf26e2 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.