Triple

T10141451
Position Surface form Disambiguated ID Type / Status
Subject Province of Grosseto E231592 entity
Predicate contains P35 FINISHED
Object Scansano
Scansano is a Tuscan hill town in central Italy renowned for its production of Morellino di Scansano red wine.
E844353 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: Scansano | Statement: [Province of Grosseto, contains, Scansano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scansano
Context triple: [Province of Grosseto, contains, Scansano]
  • A. Valdieri
    Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
  • B. Pandino
    Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
  • C. Canosini
    Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern Italy.
  • D. Bocenago
    Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • E. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • 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: Scansano
Triple: [Province of Grosseto, contains, Scansano]
Generated description
Scansano is a Tuscan hill town in central Italy renowned for its production of Morellino di Scansano red wine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Scansano
Target entity description: Scansano is a Tuscan hill town in central Italy renowned for its production of Morellino di Scansano red wine.
  • A. Valdieri
    Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
  • B. Pandino
    Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
  • C. Canosini
    Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern Italy.
  • D. Bocenago
    Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
  • E. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e7d9932c8190b1947df14f373f9c completed April 5, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8c425b88190b20f1706fe3343f4 completed April 5, 2026, 10:57 p.m.
Created at: March 30, 2026, 9:07 p.m.