Triple

T10530906
Position Surface form Disambiguated ID Type / Status
Subject mainland Spain E248437 entity
Predicate contains P35 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: [mainland Spain, contains, Sistema Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sistema Central
Context triple: [mainland Spain, contains, 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
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • C. Eje Central
    Eje Central is a Mexico City Metro station on Line 12 located along the major north–south thoroughfare Eje Central Lázaro Cárdenas.
  • D. Centrale
    Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
  • E. Centrale
    Centrale is a prestigious French engineering school renowned for its rigorous scientific curriculum and role in training elite engineers and industry leaders.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a16915c8190ac4f3fd5e43c5fed completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e3caf4c8190b19199f1a68a00de completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.