Triple

T15016456
Position Surface form Disambiguated ID Type / Status
Subject Asturian mining basin E377970 entity
Predicate containsSettlement P847 FINISHED
Object Aller
Aller is a municipality in the Asturian mining region of northern Spain, known for its mountainous landscapes, coal-mining heritage, and rural villages.
 E1131345 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: Aller | Statement: [Asturian mining basin, containsSettlement, Aller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aller
Context triple: [Asturian mining basin, containsSettlement, Aller]
  • A. Aller
    The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
  • B. Alling
    Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
  • C. Allers
    Allers is a surname most notably associated with Roger Allers, the American film director, screenwriter, and animator best known for co-directing Disney’s "The Lion King."
  • D. Alleur
    Alleur is a village in the municipality of Ans in the province of Liège, Belgium.
  • E. ALLA
    ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
  • 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: Aller
Triple: [Asturian mining basin, containsSettlement, Aller]
Generated description
Aller is a municipality in the Asturian mining region of northern Spain, known for its mountainous landscapes, coal-mining heritage, and rural villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aller
Target entity description: Aller is a municipality in the Asturian mining region of northern Spain, known for its mountainous landscapes, coal-mining heritage, and rural villages.
  • A. Aller
    The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
  • B. Alling
    Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
  • C. Allers
    Allers is a surname most notably associated with Roger Allers, the American film director, screenwriter, and animator best known for co-directing Disney’s "The Lion King."
  • D. Alleur
    Alleur is a village in the municipality of Ans in the province of Liège, Belgium.
  • E. ALLA
    ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7633fcc8190b2231f43252bc46f completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96ae110c8190a0555590b9ddb36a completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97c0a3688190a9f55376a1d7ad87 completed May 9, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69fe985cec608190888733cdc5bd71ea completed May 9, 2026, 2:13 a.m.
Created at: April 10, 2026, 2:55 a.m.