Triple

T9091800
Position Surface form Disambiguated ID Type / Status
Subject Santiago Province E217904 entity
Predicate contains P35 FINISHED
Object Lo Prado E414165 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: Lo Prado | Statement: [Santiago Province, contains, Lo Prado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lo Prado
Context triple: [Santiago Province, contains, Lo Prado]
  • A. Lo Prado chosen
    Lo Prado is a commune in the Santiago Metropolitan Region of Chile, known as a predominantly residential area within Greater Santiago.
  • B. Prado
    Prado is a neighborhood within the Brazilian city of Recife, known for its urban residential character and local commerce.
  • C. Paseo de Recoletos
    Paseo de Recoletos is a prominent tree-lined boulevard in central Madrid known for its historic architecture, cultural institutions, and frequent public events and exhibitions.
  • D. Estevez Palace
    Estevez Palace is a historic government building in Montevideo, Uruguay, that has served as a presidential residence and now functions as a museum and ceremonial venue.
  • E. Plaza Alta
    Plaza Alta is a historic main square in Badajoz, Spain, known for its arcaded buildings and role as a central social and cultural gathering place in the city.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b18b24819097b525ddad3a85c0 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.