Triple

T8206810
Position Surface form Disambiguated ID Type / Status
Subject Costa da Morte E191707 entity
Predicate contains P35 FINISHED
Object Vimianzo
Vimianzo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its medieval castle and traditional Galician culture.
 E719455 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: Vimianzo | Statement: [Costa da Morte, contains, Vimianzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vimianzo
Context triple: [Costa da Morte, contains, Vimianzo]
  • A. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • B. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • C. Vizzavona
    Vizzavona is a small mountain village and forested pass area in central Corsica, known as a key stop for hikers on the island’s famous GR20 trail.
  • D. Mioveni
    Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
  • E. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • 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: Vimianzo
Triple: [Costa da Morte, contains, Vimianzo]
Generated description
Vimianzo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its medieval castle and traditional Galician culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vimianzo
Target entity description: Vimianzo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its medieval castle and traditional Galician culture.
  • A. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • B. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • C. Vizzavona
    Vizzavona is a small mountain village and forested pass area in central Corsica, known as a key stop for hikers on the island’s famous GR20 trail.
  • D. Mioveni
    Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
  • E. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedda69148190b8c221221de5dae5 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1ba74548190831677bb126bea1a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05c2059081908bd04ee4722f9aad completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:43 p.m.