Triple

T15093457
Position Surface form Disambiguated ID Type / Status
Subject Genzano di Roma E360478 entity
Predicate hasDemonym P191 FINISHED
Object Genzanese
Genzanese refers to a person or thing originating from or related to the town of Genzano di Roma in Italy.
 E1137694 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: Genzanese | Statement: [Genzano di Roma, hasDemonym, Genzanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genzanese
Context triple: [Genzano di Roma, hasDemonym, Genzanese]
  • A. Hoisanese
    Hoisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, China, and their overseas communities.
  • B. Bugis
    The Bugis are a seafaring Austronesian ethnic group from South Sulawesi, Indonesia, known historically as skilled sailors, traders, and navigators.
  • C. Bugis
    Bugis is a vibrant commercial and cultural district in Singapore known for its shopping streets, markets, and nightlife.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Gento
    Gento was a Vandal nobleman of the late 5th century, known primarily as a member of the Vandal royal family in North Africa.
  • 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: Genzanese
Triple: [Genzano di Roma, hasDemonym, Genzanese]
Generated description
Genzanese refers to a person or thing originating from or related to the town of Genzano di Roma in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genzanese
Target entity description: Genzanese refers to a person or thing originating from or related to the town of Genzano di Roma in Italy.
  • A. Hoisanese
    Hoisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, China, and their overseas communities.
  • B. Bugis
    The Bugis are a seafaring Austronesian ethnic group from South Sulawesi, Indonesia, known historically as skilled sailors, traders, and navigators.
  • C. Bugis
    Bugis is a vibrant commercial and cultural district in Singapore known for its shopping streets, markets, and nightlife.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Gento
    Gento was a Vandal nobleman of the late 5th century, known primarily as a member of the Vandal royal family in North Africa.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb2e869808190b691d95531dc7447 completed May 9, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69feb3a61e008190aff906cae172a744 completed May 9, 2026, 4:10 a.m.
Created at: April 10, 2026, 3:04 a.m.