Triple

T1451361
Position Surface form Disambiguated ID Type / Status
Subject Province of Trieste E31297 entity
Predicate contains P35 FINISHED
Object Sgonico
Sgonico is a small municipality in northeastern Italy, situated on the Karst Plateau near Trieste and known for its natural caves and rural landscape.
 E165772 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: Sgonico | Statement: [Province of Trieste, contains, Sgonico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sgonico
Context triple: [Province of Trieste, contains, Sgonico]
  • A. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • B. Maino
    Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
  • C. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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: Sgonico
Triple: [Province of Trieste, contains, Sgonico]
Generated description
Sgonico is a small municipality in northeastern Italy, situated on the Karst Plateau near Trieste and known for its natural caves and rural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sgonico
Target entity description: Sgonico is a small municipality in northeastern Italy, situated on the Karst Plateau near Trieste and known for its natural caves and rural landscape.
  • A. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • B. Maino
    Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
  • C. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57bc0908190a57e6bc3d20d5e3c completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c6f7c881908d1ef9f7897895a6 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad0a53fa6c8190bc44e8a3f9aec62f completed March 8, 2026, 5:34 a.m.
NED2 Entity disambiguation (via description) batch_69ad0aefb1c88190a368d68454a0b9d0 completed March 8, 2026, 5:36 a.m.
Created at: March 1, 2026, 8 p.m.