Triple

T12618924
Position Surface form Disambiguated ID Type / Status
Subject Río Hondo Department E301327 entity
Predicate administrativeCenter P1474 FINISHED
Object Termas de Río Hondo E992137 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: Termas de Río Hondo | Statement: [Río Hondo Department, administrativeCenter, Termas de Río Hondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Termas de Río Hondo
Context triple: [Río Hondo Department, administrativeCenter, Termas de Río Hondo]
  • A. Termas de Río Hondo chosen
    Termas de Río Hondo is a renowned Argentine spa city famous for its natural hot springs and tourism infrastructure.
  • B. Fuente Vaqueros
    Fuente Vaqueros is a small village in the province of Granada, Spain, best known as the birthplace of the renowned poet and playwright Federico García Lorca.
  • C. Paso de Agua Negra
    Paso de Agua Negra is a high-altitude mountain pass in the Andes connecting Argentina and Chile, known for its extreme elevation and challenging driving conditions.
  • D. Aguada
    Aguada is a coastal municipality on Puerto Rico’s west coast known for its beaches and role as a regional commercial and transportation hub.
  • E. Salinas de Baní
    Salinas de Baní is a coastal area in the Dominican Republic known for its striking white salt flats, sand dunes, and scenic beaches.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c75c9c819092265ebc2b39f21d completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686d770881909850ffaf820171d9 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:13 p.m.