Triple

T366039
Position Surface form Disambiguated ID Type / Status
Subject Lookout Farm E7961 entity
Predicate locatedIn P40 FINISHED
Object San Francisco de Paula E15791 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: San Francisco de Paula | Statement: [Lookout Farm, locatedIn, San Francisco de Paula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Francisco de Paula
Context triple: [Lookout Farm, locatedIn, San Francisco de Paula]
  • A. San Francisco de Paula chosen
    San Francisco de Paula is a suburban district on the outskirts of Havana, Cuba, known for its association with Ernest Hemingway and his former residence, Finca Vigía.
  • B. Saint Rose of Lima
    Saint Rose of Lima was a 17th-century Peruvian laywoman of the Dominican Order, venerated as the first Catholic saint of the Americas and renowned for her extreme piety and care for the poor.
  • C. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • D. Santa Teresa
    Santa Teresa is a historic, bohemian hilltop neighborhood in Rio de Janeiro known for its winding streets, colonial mansions, and vibrant arts scene.
  • E. San Lázaro
    San Lázaro is a major transit hub and neighborhood in Mexico City, known for its metro and Metrobús connections and proximity to the federal legislative complex.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebe7d4d0819083daeb7686ae1914 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca938988190b4490e086f25474e completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.