Triple

T4675099
Position Surface form Disambiguated ID Type / Status
Subject Piove di Sacco E103658 entity
Predicate hasSubdivision P747 FINISHED
Object Santonio
Santonio is a locality or district within the municipality of Piove di Sacco in the Veneto region of northern Italy.
 E462514 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: Santonio | Statement: [Piove di Sacco, hasSubdivision, Santonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santonio
Context triple: [Piove di Sacco, hasSubdivision, Santonio]
  • A. Milson
    Milson is a residential suburb located in the city of Palmerston North, New Zealand.
  • B. Alonzo
    Alonzo is a given name most notably borne by the American mathematician and logician Alonzo Church, a founder of theoretical computer science and lambda calculus.
  • C. Chone
    Chone is a city in coastal Ecuador known for its agricultural economy and frequent flooding, located in the Manabí Province.
  • D. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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: Santonio
Triple: [Piove di Sacco, hasSubdivision, Santonio]
Generated description
Santonio is a locality or district within the municipality of Piove di Sacco in the Veneto region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santonio
Target entity description: Santonio is a locality or district within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • A. Milson
    Milson is a residential suburb located in the city of Palmerston North, New Zealand.
  • B. Alonzo
    Alonzo is a given name most notably borne by the American mathematician and logician Alonzo Church, a founder of theoretical computer science and lambda calculus.
  • C. Chone
    Chone is a city in coastal Ecuador known for its agricultural economy and frequent flooding, located in the Manabí Province.
  • D. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63544f68819084311416402696b0 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039c4c58819099e93e01badbade5 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be0761fd8081909a078e5e526cb03c completed March 21, 2026, 2:50 a.m.
NED2 Entity disambiguation (via description) batch_69be07be0d1c8190b9ae7313e8151be9 completed March 21, 2026, 2:51 a.m.
Created at: March 20, 2026, 1:15 p.m.