Triple

T13217488
Position Surface form Disambiguated ID Type / Status
Subject Malcolm II of Scotland E314656 entity
Predicate issue P2239 FINISHED
Object Donada
Donada was a medieval Scottish princess, the daughter of King Malcolm II of Scotland.
E1028377 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: Donada | Statement: [Malcolm II of Scotland, issue, Donada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donada
Context triple: [Malcolm II of Scotland, issue, Donada]
  • A. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Dogana
    Dogana is a major town and commercial hub in northeastern San Marino, located near the border with Italy.
  • D. Doralice
    "Doralice" is a bossa nova song popularized internationally by its inclusion on the landmark 1964 jazz album Getz/Gilberto.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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: Donada
Triple: [Malcolm II of Scotland, issue, Donada]
Generated description
Donada was a medieval Scottish princess, the daughter of King Malcolm II of Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donada
Target entity description: Donada was a medieval Scottish princess, the daughter of King Malcolm II of Scotland.
  • A. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Dogana
    Dogana is a major town and commercial hub in northeastern San Marino, located near the border with Italy.
  • D. Doralice
    "Doralice" is a bossa nova song popularized internationally by its inclusion on the landmark 1964 jazz album Getz/Gilberto.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2085f88190be8cfc309d21f9cb completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7036009808190aea595cd542e0cf1 completed May 3, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69f7040e32a4819083a9f4efe96fd9ca completed May 3, 2026, 8:15 a.m.
Created at: April 9, 2026, 9:18 p.m.