Triple

T9407721
Position Surface form Disambiguated ID Type / Status
Subject Baetic System E226627 entity
Predicate nameInSpanish P2789 FINISHED
Object 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.
 E797287 NE FINISHED

How this triple was built (4 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 Bético | Statement: [Baetic System, nameInSpanish, Sistema Bético]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sistema Bético
Context triple: [Baetic System, nameInSpanish, Sistema Bético]
  • A. Bastida
    Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
  • B. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • C. Sudpiceno
    Sudpiceno is an ancient Italic language, known from fragmentary inscriptions, that was spoken in the South Picene region of pre-Roman Italy.
  • D. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sistema Bético
Triple: [Baetic System, nameInSpanish, Sistema Bético]
Generated description
Sistema Bético is a major mountain range in southern Spain, known for its complex geology and high peaks such as the Sierra Nevada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sistema Bético
Target entity description: Sistema Bético is a major mountain range in southern Spain, known for its complex geology and high peaks such as the Sierra Nevada.
  • A. Bastida
    Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
  • B. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • C. Sudpiceno
    Sudpiceno is an ancient Italic language, known from fragmentary inscriptions, that was spoken in the South Picene region of pre-Roman Italy.
  • D. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • F. None of above. chosen

Provenance (5 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5252b3fc8190b0808a10987728c8 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a0bc9c819089f7c422b4222f8e completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1082f41b48190b8588bb986028f59 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108bab8c881909748ffbb4b23f4ba completed April 4, 2026, 12:48 p.m.
Created at: March 30, 2026, 7:47 p.m.