Triple

T22510415
Position Surface form Disambiguated ID Type / Status
Subject Londres 38 E556502 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Santiago Centro NE NERFINISHED

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: [Londres 38, locatedInNeighborhood, Santiago Centro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago Centro
Context triple: [Londres 38, 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 City
    Santiago City is a highly urbanized commercial and industrial center in the Cagayan Valley region of the Philippines.
  • C. 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.
  • D. Santiago
    Santiago is a common Spanish given name used across many Spanish-speaking countries and cultures.
  • E. Santiago
    Santiago is a town in Ecuador that serves as one of the settlements within Morona-Santiago Province in the Amazonian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5faf6c8190ba0513be9ae7d128 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.