Triple

T20527218
Position Surface form Disambiguated ID Type / Status
Subject Central System E503967 entity
Predicate localName P657 FINISHED
Object Sistema Central 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: Sistema Central | Statement: [Central System, localName, Sistema Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sistema Central
Context triple: [Central System, localName, 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. Cutzamala System
    The Cutzamala System is a major inter-basin water supply and transfer infrastructure in central Mexico that provides a significant portion of the drinking water for Mexico City and surrounding areas.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a0677018819085396cc8795a34e9 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.