Triple

T19799217
Position Surface form Disambiguated ID Type / Status
Subject Garrotxa E475624 entity
Predicate borderedBy P224 FINISHED
Object Pla de l’Estany NE NERFINISHED

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: Pla de l’Estany | Statement: [Garrotxa, borderedBy, Pla de l’Estany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pla de l’Estany
Context triple: [Garrotxa, borderedBy, Pla de l’Estany]
  • A. Pla de l'Estany chosen
    Pla de l'Estany is a small inland comarca in northeastern Catalonia, Spain, known for its lakeside landscapes around Banyoles and its mix of rural and historical heritage.
  • B. Quart de Poblet
    Quart de Poblet is a municipality in the province of Valencia, Spain, known for its proximity to the city of Valencia and its role within the metropolitan area.
  • C. Pedralbes
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • D. Pallejà
    Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
  • E. Torrelles de Llobregat
    Torrelles de Llobregat is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its hilly landscape and proximity to Barcelona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c930a08190a2263db7170edd71 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.