Triple

T12404750
Position Surface form Disambiguated ID Type / Status
Subject Santa Ana station E296353 entity
Predicate servesCity P82 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: [Santa Ana station, servesCity, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [Santa Ana station, servesCity, 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 a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
  • D. Santiago
    Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist."
  • E. Santiago
    Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist," embarking on a journey of personal legend and self-discovery.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555ab68881908813e45548281df3 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:55 p.m.