Triple

T13113088
Position Surface form Disambiguated ID Type / Status
Subject Juan Luis Segundo E311022 entity
Predicate workedIn P1527 FINISHED
Object Montevideo, Uruguay E47651 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: Montevideo, Uruguay | Statement: [Juan Luis Segundo, workedIn, Montevideo, Uruguay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montevideo, Uruguay
Context triple: [Juan Luis Segundo, workedIn, Montevideo, Uruguay]
  • A. Montevideo chosen
    Montevideo is the capital and largest city of Uruguay, serving as the country’s main political, economic, and cultural center.
  • B. San José, Uruguay
    San José, Uruguay is a small city in southern Uruguay that serves as the capital of the San José Department and is known for its agricultural surroundings and colonial-era heritage.
  • C. Ciudad Vieja, Montevideo
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and role as the city’s original urban core.
  • D. Salto, Uruguay
    Salto, Uruguay is a major city in northwestern Uruguay known for its hot springs, agricultural production, and as the hometown of footballer Luis Suárez.
  • E. Buenos Aires
    Buenos Aires is the capital and largest city of Argentina, known for its rich European-influenced culture, tango music and dance, and vibrant urban life.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a25c3b4819090511525babcd2ba completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:06 p.m.