Triple

T17992561
Position Surface form Disambiguated ID Type / Status
Subject Madona Municipality E430411 entity
Predicate contains P35 FINISHED
Object Arona
Arona is a settlement located within Madona Municipality in Latvia.
 E1300478 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: Arona | Statement: [Madona Municipality, contains, Arona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arona
Context triple: [Madona Municipality, contains, Arona]
  • A. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • B. Arona
    Arona is a town in northern Italy on the shores of Lake Maggiore, known for its historic architecture and as the birthplace of Saint Charles Borromeo.
  • C. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • D. Aricia
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • E. Balvanera
    Balvanera is a densely populated, traditionally working- and middle-class neighborhood in central Buenos Aires, Argentina, known for its historic architecture, commercial activity, and strong cultural life.
  • 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: Arona
Triple: [Madona Municipality, contains, Arona]
Generated description
Arona is a settlement located within Madona Municipality in Latvia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arona
Target entity description: Arona is a settlement located within Madona Municipality in Latvia.
  • A. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • B. Arona
    Arona is a town in northern Italy on the shores of Lake Maggiore, known for its historic architecture and as the birthplace of Saint Charles Borromeo.
  • C. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • D. Aricia
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • E. Balvanera
    Balvanera is a densely populated, traditionally working- and middle-class neighborhood in central Buenos Aires, Argentina, known for its historic architecture, commercial activity, and strong cultural life.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2a0f8588190b6090c7cce60a35f completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337ae62588190b1a6464fb703cc8f completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.