Triple

T8587339
Position Surface form Disambiguated ID Type / Status
Subject Market Square, Helsinki E203338 entity
Predicate connectedByFerryTo P1831 FINISHED
Object Lonna
Lonna is a small island near central Helsinki known for its historic military structures, public sauna, and seaside recreation.
 E746170 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: Lonna | Statement: [Market Square, Helsinki, connectedByFerryTo, Lonna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lonna
Context triple: [Market Square, Helsinki, connectedByFerryTo, Lonna]
  • A. Londa
    Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
  • B. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • C. Alonnah
    Alonnah is a small coastal township on Bruny Island in Tasmania, Australia, serving as one of the island’s main settlements and service centers.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • 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: Lonna
Triple: [Market Square, Helsinki, connectedByFerryTo, Lonna]
Generated description
Lonna is a small island near central Helsinki known for its historic military structures, public sauna, and seaside recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lonna
Target entity description: Lonna is a small island near central Helsinki known for its historic military structures, public sauna, and seaside recreation.
  • A. Londa
    Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
  • B. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • C. Alonnah
    Alonnah is a small coastal township on Bruny Island in Tasmania, Australia, serving as one of the island’s main settlements and service centers.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc457dc76481908ec5ee31ad72e887 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8a51db0819097ec0f70bee31539 completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:23 p.m.