Triple

T11968484
Position Surface form Disambiguated ID Type / Status
Subject Campo de Belchite comarca E284852 entity
Predicate contains P35 FINISHED
Object Moneva
Moneva is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the historic Campo de Belchite area.
E956353 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: Moneva | Statement: [Campo de Belchite comarca, contains, Moneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moneva
Context triple: [Campo de Belchite comarca, contains, Moneva]
  • A. Monyash
    Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
  • B. Mioveni
    Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
  • C. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • D. Medon
    Medon is a minor figure in Greek mythology known primarily as a son of Pylades.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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: Moneva
Triple: [Campo de Belchite comarca, contains, Moneva]
Generated description
Moneva is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the historic Campo de Belchite area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moneva
Target entity description: Moneva is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the historic Campo de Belchite area.
  • A. Monyash
    Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
  • B. Mioveni
    Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
  • C. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • D. Medon
    Medon is a minor figure in Greek mythology known primarily as a son of Pylades.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037bee54819085242a3ef3e286f9 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459691ff0819099282172933d2d81 completed May 1, 2026, 7:42 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:46 p.m.