Triple

T5765004
Position Surface form Disambiguated ID Type / Status
Subject Piazza del Quirinale E127189 entity
Predicate hasViewTowards P854 FINISHED
Object Monte Mario
Monte Mario is the highest hill in Rome, known for its panoramic views over the city and the River Tiber.
E544616 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: Monte Mario | Statement: [Piazza del Quirinale, hasViewTowards, Monte Mario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Mario
Context triple: [Piazza del Quirinale, hasViewTowards, Monte Mario]
  • A. Monterozzi hill
    Monterozzi hill is a prominent archaeological site near Tarquinia in central Italy, renowned for its extensive Etruscan necropolis with richly painted tombs.
  • B. Rocca Pia
    Rocca Pia is a 15th-century fortress in Tivoli, Italy, built under Pope Pius II to strengthen papal control and now a notable historical landmark.
  • C. Montemesola
    Montemesola is a small Italian town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
  • D. Monte Terminillo
    Monte Terminillo is a prominent Apennine mountain in central Italy, known for its ski resorts and hiking trails.
  • E. Monte San Biagio
    Monte San Biagio is a small Italian town in the Lazio region known for its historic hilltop setting and traditional agricultural products, particularly olives and wine.
  • 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: Monte Mario
Triple: [Piazza del Quirinale, hasViewTowards, Monte Mario]
Generated description
Monte Mario is the highest hill in Rome, known for its panoramic views over the city and the River Tiber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monte Mario
Target entity description: Monte Mario is the highest hill in Rome, known for its panoramic views over the city and the River Tiber.
  • A. Monterozzi hill
    Monterozzi hill is a prominent archaeological site near Tarquinia in central Italy, renowned for its extensive Etruscan necropolis with richly painted tombs.
  • B. Rocca Pia
    Rocca Pia is a 15th-century fortress in Tivoli, Italy, built under Pope Pius II to strengthen papal control and now a notable historical landmark.
  • C. Montemesola
    Montemesola is a small Italian town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
  • D. Monte Terminillo
    Monte Terminillo is a prominent Apennine mountain in central Italy, known for its ski resorts and hiking trails.
  • E. Monte San Biagio
    Monte San Biagio is a small Italian town in the Lazio region known for its historic hilltop setting and traditional agricultural products, particularly olives and wine.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0296fa3e881909359bc39892ccc18 completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e59c2d0819091101dea300e1d7e completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c089b27f9c8190ab7973e85fbf13e9 completed March 23, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69c08a2dc2a08190a762c4373eeb1ddf completed March 23, 2026, 12:32 a.m.
Created at: March 22, 2026, 3:49 p.m.