Triple

T8597085
Position Surface form Disambiguated ID Type / Status
Subject Álava E203577 entity
Predicate hasBasqueName P17751 FINISHED
Object Araba
Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
 E746298 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: Araba | Statement: [Álava, hasBasqueName, Araba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Araba
Context triple: [Álava, hasBasqueName, Araba]
  • A. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • B. Qashqai
    Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
  • C. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • D. The Car
    "The Car" is a 2022 studio album by English rock band Arctic Monkeys, noted for its lush orchestration, cinematic atmosphere, and introspective songwriting.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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: Araba
Triple: [Álava, hasBasqueName, Araba]
Generated description
Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Araba
Target entity description: Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
  • A. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • B. Qashqai
    Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
  • C. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • D. The Car
    "The Car" is a 2022 studio album by English rock band Arctic Monkeys, noted for its lush orchestration, cinematic atmosphere, and introspective songwriting.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8d3fcfc8190bc51a38715ed453e completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69ceac90764c81908c349729bd22a9af completed April 2, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_69cead4a4f148190aa39e774528730c9 completed April 2, 2026, 5:54 p.m.
Created at: March 30, 2026, 6:24 p.m.