Triple

T13201415
Position Surface form Disambiguated ID Type / Status
Subject Puerto de Navacerrada E314250 entity
Predicate partOf P40 FINISHED
Object Sistema Central E218521 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: Sistema Central | Statement: [Puerto de Navacerrada, partOf, Sistema Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sistema Central
Context triple: [Puerto de Navacerrada, partOf, Sistema Central]
  • A. Sistema Central chosen
    Sistema Central is a major mountain range in central Spain that forms a natural barrier dividing the northern and southern plateaus of the Iberian Peninsula.
  • B. Sistema Bético
    Sistema Bético is a major mountain range in southern Spain, known for its complex geology and high peaks such as the Sierra Nevada.
  • C. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • D. Eje Central
    Eje Central is a Mexico City Metro station on Line 12 located along the major north–south thoroughfare Eje Central Lázaro Cárdenas.
  • E. Cencibel
    Cencibel is a Spanish red wine grape variety, better known internationally as Tempranillo, used to produce full-bodied, age-worthy 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6591d881909a6ebc22246caead completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1a3d68819089ad35f8f9ff5c5a completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:16 p.m.