Triple

T10163954
Position Surface form Disambiguated ID Type / Status
Subject Arno E233959 entity
Predicate hasTributary P415 FINISHED
Object Pesa
The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
 E845646 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: Pesa | Statement: [Arno, hasTributary, Pesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pesa
Context triple: [Arno, hasTributary, Pesa]
  • A. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • B. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • C. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • D. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • E. Peket
    Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
  • 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: Pesa
Triple: [Arno, hasTributary, Pesa]
Generated description
The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pesa
Target entity description: The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • A. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • B. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • C. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • D. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • E. Peket
    Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec6a7bb48190952f4318af9cc32b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300d672fc8190ad5b937d02a737fd completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d30254aabc8190966a4398c59a851e completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30305924c8190998cbefa372dca9a completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:09 p.m.