Triple

T6708784
Position Surface form Disambiguated ID Type / Status
Subject Lake Orta E153075 entity
Predicate inflow P415 FINISHED
Object Fiumetta
Fiumetta is a small watercourse in northern Italy that serves as one of the tributary streams feeding Lake Orta.
 E613771 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: Fiumetta | Statement: [Lake Orta, inflow, Fiumetta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fiumetta
Context triple: [Lake Orta, inflow, Fiumetta]
  • A. La Nati
    La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
  • B. Fabela
    Fabela is the maiden surname of Helen Fabela Chávez, a Mexican-American labor leader and wife of civil rights activist César Chávez.
  • C. Getti Tonanti
    Getti Tonanti was an early Italian Air Force aerobatic display team that preceded and helped pave the way for the formation of the modern Frecce Tricolori.
  • D. Les Muma
    Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
  • E. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • 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: Fiumetta
Triple: [Lake Orta, inflow, Fiumetta]
Generated description
Fiumetta is a small watercourse in northern Italy that serves as one of the tributary streams feeding Lake Orta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fiumetta
Target entity description: Fiumetta is a small watercourse in northern Italy that serves as one of the tributary streams feeding Lake Orta.
  • A. La Nati
    La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
  • B. Fabela
    Fabela is the maiden surname of Helen Fabela Chávez, a Mexican-American labor leader and wife of civil rights activist César Chávez.
  • C. Getti Tonanti
    Getti Tonanti was an early Italian Air Force aerobatic display team that preceded and helped pave the way for the formation of the modern Frecce Tricolori.
  • D. Les Muma
    Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
  • E. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1049b7c8190a970a165d15b440b completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7008e6b308190a3d5db2bf4a469c4 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701be78cc8190a0848ea60908d129 completed March 27, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c7021b27288190866aef500198479d completed March 27, 2026, 10:18 p.m.
Created at: March 27, 2026, 2:06 p.m.