Triple

T13300995
Position Surface form Disambiguated ID Type / Status
Subject La Pedriza E316809 entity
Predicate hasPeak P8205 FINISHED
Object Yelmo
Yelmo is a prominent granite dome and popular climbing destination in the La Pedriza area of Spain’s Sierra de Guadarrama.
 E1032238 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: Yelmo | Statement: [La Pedriza, hasPeak, Yelmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yelmo
Context triple: [La Pedriza, hasPeak, Yelmo]
  • A. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • B. Yumyulack
    Yumyulack is a cynical and scientifically inclined alien child from the animated series "Solar Opposites," known for his cruel experiments and tendency to shrink humans into his terrarium-like "Wall."
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Yelm
    Yelm is a small city in Thurston County, Washington, known for its rural character, views of Mount Rainier, and proximity to Joint Base Lewis–McChord.
  • E. Lyolik
    Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
  • 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: Yelmo
Triple: [La Pedriza, hasPeak, Yelmo]
Generated description
Yelmo is a prominent granite dome and popular climbing destination in the La Pedriza area of Spain’s Sierra de Guadarrama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yelmo
Target entity description: Yelmo is a prominent granite dome and popular climbing destination in the La Pedriza area of Spain’s Sierra de Guadarrama.
  • A. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • B. Yumyulack
    Yumyulack is a cynical and scientifically inclined alien child from the animated series "Solar Opposites," known for his cruel experiments and tendency to shrink humans into his terrarium-like "Wall."
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Yelm
    Yelm is a small city in Thurston County, Washington, known for its rural character, views of Mount Rainier, and proximity to Joint Base Lewis–McChord.
  • E. Lyolik
    Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a43ed88190a8dbbbd7d6d62dc4 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716df8c2c8190bd17b47848546271 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177f2270819098426a269032ea1c completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f7184c55108190a4d60a5bf4bd2208 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:28 p.m.