Triple

T11962853
Position Surface form Disambiguated ID Type / Status
Subject Paseo Bulnes E284712 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Santiago Centro E474142 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 Centro | Statement: [Paseo Bulnes, locatedInNeighborhood, Santiago Centro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago Centro
Context triple: [Paseo Bulnes, locatedInNeighborhood, Santiago Centro]
  • A. Santiago Centro chosen
    Santiago Centro is the historic downtown commune of Santiago, Chile, known as the city’s political, commercial, and cultural core.
  • B. Santiago Oriente
    Santiago Oriente is an electoral district in Chile that encompasses several eastern communes of Santiago, known for being a predominantly affluent and urban area of the capital.
  • C. Santiago
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • D. 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.
  • E. 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.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4594054f08190b28b35f62dfb9198 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.