Triple

T10769198
Position Surface form Disambiguated ID Type / Status
Subject Vallès Oriental E254029 entity
Predicate borders P224 FINISHED
Object Selva E878040 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: Selva | Statement: [Vallès Oriental, borders, Selva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selva
Context triple: [Vallès Oriental, borders, Selva]
  • A. Selva chosen
    Selva is a coastal and inland comarca (county) in the province of Girona, Catalonia, known for its mix of Mediterranean beaches and forested interior landscapes.
  • B. Selva Alta
    Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
  • C. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • D. Xingu Asuriní
    Xingu Asuriní is an indigenous language of the Tupi–Guaraní family spoken by the Asuriní people living along Brazil’s Xingu River.
  • E. Makushi
    The Makushi are an Indigenous people of the Guiana Shield region, primarily living in southern Guyana and northern Brazil, known for their traditional subsistence farming, rich oral traditions, and close relationship with the rainforest environment.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.