Triple

T2820298
Position Surface form Disambiguated ID Type / Status
Subject Mount Etna E54389 entity
Predicate cityAtFoot P3207 FINISHED
Object Nicolosi
Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
E301745 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: Nicolosi | Statement: [Mount Etna, cityAtFoot, Nicolosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolosi
Context triple: [Mount Etna, cityAtFoot, Nicolosi]
  • A. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • B. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • C. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • D. Isnello
    Isnello is a small historic town and municipality nestled in the Madonie mountain range in northern Sicily, Italy.
  • E. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • 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: Nicolosi
Triple: [Mount Etna, cityAtFoot, Nicolosi]
Generated description
Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nicolosi
Target entity description: Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • A. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • B. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • C. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • D. Isnello
    Isnello is a small historic town and municipality nestled in the Madonie mountain range in northern Sicily, Italy.
  • E. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abe08ae5048190a0a3b573d9a5fdbc completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afcea809e48190b22f25a3c8c1acdd completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcff5af4c819082b2cf316723440a completed March 10, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69afd07923fc819097051017d3e2b5da completed March 10, 2026, 8:04 a.m.
Created at: March 6, 2026, 9:59 p.m.