Triple

T12274049
Position Surface form Disambiguated ID Type / Status
Subject El Golf E292543 entity
Predicate hasBorough P300 FINISHED
Object Las Condes E107025 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: Las Condes | Statement: [El Golf, hasBorough, Las Condes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Condes
Context triple: [El Golf, hasBorough, Las Condes]
  • A. Las Condes chosen
    Las Condes is an affluent commune in eastern Santiago, Chile, known for its modern high-rise architecture, business districts, and upscale residential areas.
  • B. Colonia Condesa
    Colonia Condesa is a trendy, historic neighborhood in Mexico City known for its tree-lined streets, Art Deco architecture, parks, cafes, and vibrant cultural and nightlife scene.
  • C. La Plaza
    La Plaza is the historic central square of Los Angeles, recognized as the birthplace of the city and a focal point of its early civic and cultural life.
  • D. Potrero
    Potrero is a metro station in Mexico City that serves passengers on Line 3 of the Mexico City Metro system.
  • E. Lomas de Sotelo
    Lomas de Sotelo is a neighborhood in Mexico City known for hosting major facilities such as the Hipódromo de las Américas racetrack and various military and governmental installations.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cef684081908adaee8e04facc2e completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.