Triple

T6615813
Position Surface form Disambiguated ID Type / Status
Subject Guidonia Montecelio E149347 entity
Predicate hasFrazione P4207 FINISHED
Object Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
 E611376 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: Villalba | Statement: [Guidonia Montecelio, hasFrazione, Villalba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villalba
Context triple: [Guidonia Montecelio, hasFrazione, Villalba]
  • A. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • B. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • C. Villaviciosa de Odón
    Villaviciosa de Odón is a municipality in the Community of Madrid, Spain, known for its historical royal connections and proximity to the Spanish capital.
  • D. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • E. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • 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: Villalba
Triple: [Guidonia Montecelio, hasFrazione, Villalba]
Generated description
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villalba
Target entity description: Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • A. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • B. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • C. Villaviciosa de Odón
    Villaviciosa de Odón is a municipality in the Community of Madrid, Spain, known for its historical royal connections and proximity to the Spanish capital.
  • D. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • E. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af57fd748190bb64f1965bab319f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78d41fc8190b883b83b267ec829 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8453af88190b237c249bfbb4f8c completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8d5630c8190913e8572a70b82c1 completed March 27, 2026, 9:38 p.m.
Created at: March 27, 2026, 1:57 p.m.