Triple

T14829752
Position Surface form Disambiguated ID Type / Status
Subject Pico del Lobo E348666 entity
Predicate nearestSettlement P3883 FINISHED
Object Riaza
Riaza is a small historic town in the province of Segovia, Spain, known for its traditional Castilian architecture and proximity to the Sierra de Ayllón mountains.
E1123095 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: Riaza | Statement: [Pico del Lobo, nearestSettlement, Riaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riaza
Context triple: [Pico del Lobo, nearestSettlement, Riaza]
  • A. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • B. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • C. Roura
    Roura is a commune in French Guiana known for its rainforest landscapes and proximity to the Kaw-Roura Marshland Nature Reserve.
  • D. Arraiján
    Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
  • E. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • 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: Riaza
Triple: [Pico del Lobo, nearestSettlement, Riaza]
Generated description
Riaza is a small historic town in the province of Segovia, Spain, known for its traditional Castilian architecture and proximity to the Sierra de Ayllón mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Riaza
Target entity description: Riaza is a small historic town in the province of Segovia, Spain, known for its traditional Castilian architecture and proximity to the Sierra de Ayllón mountains.
  • A. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • B. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • C. Roura
    Roura is a commune in French Guiana known for its rainforest landscapes and proximity to the Kaw-Roura Marshland Nature Reserve.
  • D. Arraiján
    Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
  • E. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65e5a29c819099b981499a4f4bc8 completed May 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe66687bc88190a05acf107c0a1388 completed May 8, 2026, 10:40 p.m.
Created at: April 10, 2026, 1:51 a.m.