Triple

T4815103
Position Surface form Disambiguated ID Type / Status
Subject Hidalgo Castle E107168 entity
Predicate city P40 FINISHED
Object Santiago E2032 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: Santiago | Statement: [Hidalgo Castle, city, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [Hidalgo Castle, city, Santiago]
  • A. Santiago chosen
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • B. Santiago
    Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
  • C. Santiago
    Santiago is the Spanish name traditionally used for James the Greater, one of the Twelve Apostles of Jesus and a major figure in Christian tradition.
  • D. Santiago
    Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
  • E. Santiago
    Santiago was one of the smaller support vessels in Ferdinand Magellan’s early 16th-century expedition to circumnavigate the globe, primarily used for scouting and exploration along the South American coast.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c8230888190a676695e51cb3ea4 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe41822c8190b406c192170af3d1 completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:23 p.m.