Triple

T4796935
Position Surface form Disambiguated ID Type / Status
Subject Lanterna di Genova E106733 entity
Predicate alternateName P39 FINISHED
Object Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
 E470847 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: Lanterna | Statement: [Lanterna di Genova, alternateName, Lanterna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lanterna
Context triple: [Lanterna di Genova, alternateName, Lanterna]
  • A. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • B. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • C. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • D. The Toclafane
    The Toclafane are a mysterious and terrifying race of spherical, cybernetic beings who serve as the Master’s deadly enforcers in the Doctor Who universe.
  • E. The Lightning Warrior
    The Lightning Warrior is a 1931 American Western movie serial featuring action-packed frontier adventure and early sound-era filmmaking.
  • 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: Lanterna
Triple: [Lanterna di Genova, alternateName, Lanterna]
Generated description
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lanterna
Target entity description: Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
  • A. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • B. Luneta
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • C. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • D. The Toclafane
    The Toclafane are a mysterious and terrifying race of spherical, cybernetic beings who serve as the Master’s deadly enforcers in the Doctor Who universe.
  • E. The Lightning Warrior
    The Lightning Warrior is a 1931 American Western movie serial featuring action-packed frontier adventure and early sound-era filmmaking.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f8d9548190857910be4ffc2711 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be46516cd881909144adabbe271907 completed March 21, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69be47d4d26c8190a1a192dc12578f4f completed March 21, 2026, 7:25 a.m.
Created at: March 20, 2026, 1:22 p.m.