Triple

T19316146
Position Surface form Disambiguated ID Type / Status
Subject Bassignana E483101 entity
Predicate sharesBorderWith P224 FINISHED
Object Rivarone
Rivarone is a small municipality in the Piedmont region of northern Italy, located in the Province of Alessandria.
E1369850 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: Rivarone | Statement: [Bassignana, sharesBorderWith, Rivarone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivarone
Context triple: [Bassignana, sharesBorderWith, Rivarone]
  • A. Travagliato
    Travagliato is a town in the Lombardy region of northern Italy, known as the birthplace of legendary footballer Franco Baresi.
  • B. Bamboccianti
    The Bamboccianti were a group of mainly Dutch and Flemish painters active in 17th-century Rome, known for their small-scale, vividly detailed depictions of everyday life and lower-class street scenes.
  • C. Longana
    Longana is an Oceanic language spoken by the indigenous communities of Ambae Island in Vanuatu.
  • D. Fantozzi
    Fantozzi is a popular Italian comedy film series centered on the misadventures of the hapless office clerk Ugo Fantozzi, a cult character in Italian pop culture.
  • E. Fiumetta
    Fiumetta is a small watercourse in northern Italy that serves as one of the tributary streams feeding Lake Orta.
  • 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: Rivarone
Triple: [Bassignana, sharesBorderWith, Rivarone]
Generated description
Rivarone is a small municipality in the Piedmont region of northern Italy, located in the Province of Alessandria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rivarone
Target entity description: Rivarone is a small municipality in the Piedmont region of northern Italy, located in the Province of Alessandria.
  • A. Travagliato
    Travagliato is a town in the Lombardy region of northern Italy, known as the birthplace of legendary footballer Franco Baresi.
  • B. Bamboccianti
    The Bamboccianti were a group of mainly Dutch and Flemish painters active in 17th-century Rome, known for their small-scale, vividly detailed depictions of everyday life and lower-class street scenes.
  • C. Longana
    Longana is an Oceanic language spoken by the indigenous communities of Ambae Island in Vanuatu.
  • D. Fantozzi
    Fantozzi is a popular Italian comedy film series centered on the misadventures of the hapless office clerk Ugo Fantozzi, a cult character in Italian pop culture.
  • E. Fiumetta
    Fiumetta is a small watercourse in northern Italy that serves as one of the tributary streams feeding Lake Orta.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071461923081909deb4c114cab2560 completed May 15, 2026, 12:41 p.m.
NEDg Description generation batch_6a0714eb6a0c8190bec7ae8ef785a4ab completed May 15, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0718ee8adc8190a74685f9783ba5d5 completed May 15, 2026, 1 p.m.
Created at: April 10, 2026, 1:32 p.m.