Triple

T20278398
Position Surface form Disambiguated ID Type / Status
Subject Santa Croce sestiere E503073 entity
Predicate hasPart P35 FINISHED
Object Tronchetto
Tronchetto is an artificial island and transport hub in Venice, Italy, known for its large parking facilities and cruise terminal at the western end of the city.
 E1422659 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: Tronchetto | Statement: [Santa Croce sestiere, hasPart, Tronchetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tronchetto
Context triple: [Santa Croce sestiere, hasPart, Tronchetto]
  • A. Tronchet
    Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
  • B. Toffen
    Toffen is a small Swiss municipality in the canton of Bern, located in the Gürbetal valley near the city of Bern.
  • C. Pizzini
    Pizzini is a small locality within the municipality of Valfurva in the Lombardy region of northern Italy, situated in the Italian Alps.
  • D. Scheggino
    Scheggino is a small historic village in the Umbria region of central Italy, known for its medieval architecture and scenic riverside setting.
  • E. Pianchette
    Pianchette is a rock climbing crag located in Italy’s Valle dell'Orco, known for its granite routes in an alpine valley setting.
  • 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: Tronchetto
Triple: [Santa Croce sestiere, hasPart, Tronchetto]
Generated description
Tronchetto is an artificial island and transport hub in Venice, Italy, known for its large parking facilities and cruise terminal at the western end of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tronchetto
Target entity description: Tronchetto is an artificial island and transport hub in Venice, Italy, known for its large parking facilities and cruise terminal at the western end of the city.
  • A. Tronchet
    Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
  • B. Toffen
    Toffen is a small Swiss municipality in the canton of Bern, located in the Gürbetal valley near the city of Bern.
  • C. Pizzini
    Pizzini is a small locality within the municipality of Valfurva in the Lombardy region of northern Italy, situated in the Italian Alps.
  • D. Scheggino
    Scheggino is a small historic village in the Umbria region of central Italy, known for its medieval architecture and scenic riverside setting.
  • E. Pianchette
    Pianchette is a rock climbing crag located in Italy’s Valle dell'Orco, known for its granite routes in an alpine valley setting.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e59f7c819086638b871ecbbd40 completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a23a5f88190958b045de0b64087 completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085aecd7e48190a82b7cc8ac9f53ba completed May 16, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a085baddf1c8190ac7444a8e1d5128f completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 10:35 a.m.