Triple

T14420414
Position Surface form Disambiguated ID Type / Status
Subject Opuntian Locris E357567 entity
Predicate hasCity P316 FINISHED
Object Larimna
Larimna was an ancient Greek city of Opuntian Locris, situated on the coast of central Greece.
E1098751 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: Larimna | Statement: [Opuntian Locris, hasCity, Larimna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larimna
Context triple: [Opuntian Locris, hasCity, Larimna]
  • A. Mweelrea
    Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
  • B. Ashama
    Ashama is a village-level settlement located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • C. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • D. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • 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: Larimna
Triple: [Opuntian Locris, hasCity, Larimna]
Generated description
Larimna was an ancient Greek city of Opuntian Locris, situated on the coast of central Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larimna
Target entity description: Larimna was an ancient Greek city of Opuntian Locris, situated on the coast of central Greece.
  • A. Mweelrea
    Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
  • B. Ashama
    Ashama is a village-level settlement located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • C. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • D. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc961c48190b67dceb2f07977fd completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d078b8081908810acb77be74b2b completed May 8, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69fd5d7e07a08190be5154674f7478fb completed May 8, 2026, 3:50 a.m.
Created at: April 10, 2026, 1:18 a.m.