Triple

T4520783
Position Surface form Disambiguated ID Type / Status
Subject Virgin Mary statue on Cerro San Cristóbal E103262 entity
Predicate overlooks P1323 FINISHED
Object city of 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: city of Santiago | Statement: [Virgin Mary statue on Cerro San Cristóbal, overlooks, city of Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: city of Santiago
Context triple: [Virgin Mary statue on Cerro San Cristóbal, overlooks, city of 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 common Spanish given name used across many Spanish-speaking countries and cultures.
  • 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, historically associated with Saint James and widely used across the Spanish-speaking world.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5749d95481908db0176459c096cf completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba400cd88190a2348ec3ac6b711e completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:02 p.m.