Triple

T6615815
Position Surface form Disambiguated ID Type / Status
Subject Guidonia Montecelio E149347 entity
Predicate hasFrazione P4207 FINISHED
Object Colle Verde
Colle Verde is a residential frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
E599820 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: Colle Verde | Statement: [Guidonia Montecelio, hasFrazione, Colle Verde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colle Verde
Context triple: [Guidonia Montecelio, hasFrazione, Colle Verde]
  • A. Colle di Nava
    Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
  • B. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • C. Valnerina
    Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
  • D. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • E. Colle della Guardia
    Colle della Guardia is a hill overlooking Bologna, Italy, known for hosting the Sanctuary of the Madonna di San Luca and offering panoramic views of the surrounding area.
  • 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: Colle Verde
Triple: [Guidonia Montecelio, hasFrazione, Colle Verde]
Generated description
Colle Verde is a residential 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: Colle Verde
Target entity description: Colle Verde is a residential frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • A. Colle di Nava
    Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
  • B. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • C. Valnerina
    Valnerina is a scenic valley in central Italy known for its rugged landscapes, medieval villages, and outdoor activities along the Nera River.
  • D. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • E. Colle della Guardia
    Colle della Guardia is a hill overlooking Bologna, Italy, known for hosting the Sanctuary of the Madonna di San Luca and offering panoramic views of the surrounding area.
  • 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_69c6cbda469481908173db345ba2f216 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd428b988190b01311ca02f4dff3 completed March 27, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcc10c08190aa98212bd17063a3 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:57 p.m.