Triple

T17091300
Position Surface form Disambiguated ID Type / Status
Subject Spain 2014 E414730 entity
Predicate hostCity P1798 FINISHED
Object Badalona E133624 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: Badalona | Statement: [Spain 2014, hostCity, Badalona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badalona
Context triple: [Spain 2014, hostCity, Badalona]
  • A. Badalona chosen
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • B. La Catalana
    La Catalana is a neighborhood within the municipality of Sant Adrià de Besòs in the metropolitan area of Barcelona, Spain.
  • C. La Sagrera
    La Sagrera is a major multimodal transport hub in Barcelona that serves as an interchange between several metro lines, commuter trains, and future high-speed rail services.
  • D. L’Estartit
    L’Estartit is a coastal town on Spain’s Costa Brava, known for its beaches and proximity to the protected Medes Islands marine reserve.
  • E. Len de l’El
    Len de l’El is a rare, traditional white grape variety from southwest France, primarily associated with the Gaillac wine region and valued for producing fresh, aromatic wines.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfa09b08190be4303dd0d174feb completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee9fd108190b12e8624bb66caf2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.