Triple

T10043961
Position Surface form Disambiguated ID Type / Status
Subject Gipuzkoa E205362 entity
Predicate hasMountainRange P651 FINISHED
Object Aralar
Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
 E837513 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: Aralar | Statement: [Gipuzkoa, hasMountainRange, Aralar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aralar
Context triple: [Gipuzkoa, hasMountainRange, Aralar]
  • A. Aralle
    Aralle is a dialect of the Aralle-Tabulahan language spoken by an indigenous community in West Sulawesi, Indonesia.
  • B. Aral
    Aral is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and a local center for the surrounding steppe region.
  • C. Aral
    Aral is a major German fuel retail and service station brand owned by the energy company BP.
  • D. Aral
    Aral is a city located along the Tarim River in the Xinjiang Uyghur Autonomous Region of western China.
  • E. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • 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: Aralar
Triple: [Gipuzkoa, hasMountainRange, Aralar]
Generated description
Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aralar
Target entity description: Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
  • A. Aralle
    Aralle is a dialect of the Aralle-Tabulahan language spoken by an indigenous community in West Sulawesi, Indonesia.
  • B. Aral
    Aral is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and a local center for the surrounding steppe region.
  • C. Aral
    Aral is a major German fuel retail and service station brand owned by the energy company BP.
  • D. Aral
    Aral is a city located along the Tarim River in the Xinjiang Uyghur Autonomous Region of western China.
  • E. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf61b3e08190b69bcf67b6a95342 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282801c548190b6031bdde17f6e14 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283508a24819086f384a7852f1be9 completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d284105be08190a703cea6ef5d6cbc completed April 5, 2026, 3:47 p.m.
Created at: March 30, 2026, 8:55 p.m.