Triple

T22456634
Position Surface form Disambiguated ID Type / Status
Subject Vimioso E555132 entity
Predicate hasParish P35 FINISHED
Object Matela
Matela is a civil parish located in the municipality of Vimioso in northeastern Portugal.
 E1537986 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: Matela | Statement: [Vimioso, hasParish, Matela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matela
Context triple: [Vimioso, hasParish, Matela]
  • A. Metelli
    The Metelli were a prominent branch of the ancient Roman gens Caecilia, known for producing influential politicians and military leaders during the Republic.
  • B. Majesdane
    Majesdane is a fictional alien planet in Marvel Comics, known as the crystalline, light-based homeworld of Karolina Dean and the Majesdanian race.
  • C. Mora
    Mora is a small genus of large, tropical hardwood trees in the legume family, known for their dense, durable timber and occurrence in Neotropical rainforests.
  • D. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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: Matela
Triple: [Vimioso, hasParish, Matela]
Generated description
Matela is a civil parish located in the municipality of Vimioso in northeastern Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matela
Target entity description: Matela is a civil parish located in the municipality of Vimioso in northeastern Portugal.
  • A. Metelli
    The Metelli were a prominent branch of the ancient Roman gens Caecilia, known for producing influential politicians and military leaders during the Republic.
  • B. Majesdane
    Majesdane is a fictional alien planet in Marvel Comics, known as the crystalline, light-based homeworld of Karolina Dean and the Majesdanian race.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a small genus of large, tropical hardwood trees in the legume family, known for their dense, durable timber and occurrence in Neotropical rainforests.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7c428c8190847a259eef969525 completed April 29, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c7fc40081909f27eb081ac156f1 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0ddb116c8190b19f9a01abb737e6 completed May 18, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0e4402e481909210c5feff3fcddf completed May 18, 2026, 1:04 p.m.
Created at: April 16, 2026, 8:48 p.m.