Triple

T6074700
Position Surface form Disambiguated ID Type / Status
Subject Teruel province E135370 entity
Predicate locatedOn P40 FINISHED
Object Iberian System E218522 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: Iberian System | Statement: [Teruel province, locatedOn, Iberian System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iberian System
Context triple: [Teruel province, locatedOn, Iberian System]
  • A. Sistema Ibérico chosen
    Sistema Ibérico is a major mountain range in eastern Spain that separates the central plateau from the Mediterranean coastal regions.
  • B. Baetic System
    The Baetic System is a major mountain range in southern Spain that includes peaks such as the Sierra Nevada and stretches along the Mediterranean coast.
  • C. Iberian kingdoms
    The Iberian kingdoms were the medieval Christian and Muslim realms that occupied the Iberian Peninsula, including powers such as Castile, Aragon, Portugal, Navarre, and various Islamic taifas.
  • D. Iberian gauge
    Iberian gauge is a broad railway track gauge, wider than the international standard gauge, predominantly used on mainline railways in Spain and Portugal.
  • E. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3fb99481909cc31c179eb4e8c9 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.