Triple

T12896934
Position Surface form Disambiguated ID Type / Status
Subject Laguna Sur station E308518 entity
Predicate locatedIn P40 FINISHED
Object Santiago
Santiago is the capital and largest city of Chile, serving as the country's political, cultural, and economic center in the central valley.
E2032 NE FINISHED

How this triple was built (4 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: [Laguna Sur station, locatedIn, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [Laguna Sur station, locatedIn, Santiago]
  • A. 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.
  • B. Santiago
    Santiago is the surname of Puerto Rican Latin trap and reggaeton artist Anuel AA, whose full name is Emmanuel Gazmey Santiago.
  • C. Santiago
    Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist."
  • D. 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.
  • E. Santiago
    Santiago is the second-largest city in the Dominican Republic, known as a major cultural, economic, and industrial center in the Cibao region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Santiago
Triple: [Laguna Sur station, locatedIn, Santiago]
Generated description
Santiago is the capital and largest city of Chile, serving as the country's political, cultural, and economic center in the central valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santiago
Target entity description: Santiago is the capital and largest city of Chile, serving as the country's political, cultural, and economic center in the central valley.
  • 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 second-largest city in the Dominican Republic, known as a major cultural, economic, and industrial center in the Cibao region.
  • C. Santiago
    Santiago is the largest and most populous island of Cape Verde, home to the nation’s capital city, Praia, and its main political and economic activities.
  • D. Santiago
    Santiago is a town in Ecuador that serves as one of the settlements within Morona-Santiago Province in the Amazonian region.
  • E. Santiago
    Santiago is a common Spanish given name used across many Spanish-speaking countries and cultures.
  • F. None of above.

Provenance (5 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717d859481908957510babac2d69 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af49d2c4819097168712af7d4c15 completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:40 p.m.