Triple

T8789134
Position Surface form Disambiguated ID Type / Status
Subject Salo, Finland E209115 entity
Predicate formedByMergerOf P77 FINISHED
Object Märy
Märy was a former municipality in Finland that was incorporated into the town of Salo as part of an administrative merger.
 E757749 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: Märy | Statement: [Salo, Finland, formedByMergerOf, Märy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Märy
Context triple: [Salo, Finland, formedByMergerOf, Märy]
  • A. Madisyn
    Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
  • B. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • C. Marj
    Marj is a Libyan city located near the Jabal al Akhdar (Green Mountain) region in northeastern Libya.
  • D. Marly
    Marly is a French locality historically associated with royal architecture and landscape design, notably linked to the works of architect Jules Hardouin-Mansart.
  • E. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • 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: Märy
Triple: [Salo, Finland, formedByMergerOf, Märy]
Generated description
Märy was a former municipality in Finland that was incorporated into the town of Salo as part of an administrative merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Märy
Target entity description: Märy was a former municipality in Finland that was incorporated into the town of Salo as part of an administrative merger.
  • A. Madisyn
    Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
  • B. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • C. Marj
    Marj is a Libyan city located near the Jabal al Akhdar (Green Mountain) region in northeastern Libya.
  • D. Marly
    Marly is a French locality historically associated with royal architecture and landscape design, notably linked to the works of architect Jules Hardouin-Mansart.
  • E. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5378c3f48190a4180c20aecb2260 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf5471e9c08190963b7f1d6c2ceffe completed April 3, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:43 p.m.