Triple

T19253581
Position Surface form Disambiguated ID Type / Status
Subject Lord of Noreña E481455 entity
Predicate hasTerritorialBase P21614 FINISHED
Object Noreña
Noreña is a small municipality and historical lordship in the Asturias region of northern Spain.
E1366629 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: Noreña | Statement: [Lord of Noreña, hasTerritorialBase, Noreña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noreña
Context triple: [Lord of Noreña, hasTerritorialBase, Noreña]
  • A. Noreia
    Noreia was an ancient town in Noricum, traditionally regarded as the chief city of the Norici and associated with Celtic and later Roman-era settlement and trade in the eastern Alpine region.
  • B. Ainhoa
    Ainhoa is a picturesque Basque village in southwestern France, known for its traditional half-timbered houses and status as one of the "Most Beautiful Villages of France."
  • C. Marchena
    Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
  • D. Kariña
    Kariña refers to the Indigenous Carib-speaking people native to parts of northeastern South America, particularly in present-day Venezuela, Guyana, Suriname, and French Guiana.
  • E. Arida
    Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
  • 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: Noreña
Triple: [Lord of Noreña, hasTerritorialBase, Noreña]
Generated description
Noreña is a small municipality and historical lordship in the Asturias region of northern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noreña
Target entity description: Noreña is a small municipality and historical lordship in the Asturias region of northern Spain.
  • A. Noreia
    Noreia was an ancient town in Noricum, traditionally regarded as the chief city of the Norici and associated with Celtic and later Roman-era settlement and trade in the eastern Alpine region.
  • B. Ainhoa
    Ainhoa is a picturesque Basque village in southwestern France, known for its traditional half-timbered houses and status as one of the "Most Beautiful Villages of France."
  • C. Marchena
    Marchena is a historic town in the province of Seville, Andalusia, southern Spain, known for its rich architectural heritage and traditional Andalusian culture.
  • D. Kariña
    Kariña refers to the Indigenous Carib-speaking people native to parts of northeastern South America, particularly in present-day Venezuela, Guyana, Suriname, and French Guiana.
  • E. Arida
    Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3339648190a87d38ce42aff016 completed April 20, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705e508c88190b630882941dd691b completed May 15, 2026, 11:39 a.m.
NEDg Description generation batch_6a0706d7c63c8190a7114937af40b294 completed May 15, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_6a070763ca5c81908afa73b30645223a completed May 15, 2026, 11:45 a.m.
Created at: April 10, 2026, 1:28 p.m.