Triple

T10865664
Position Surface form Disambiguated ID Type / Status
Subject Tynedale E256522 entity
Predicate contains P35 FINISHED
Object Matfen
Matfen is a small village and civil parish in Northumberland, England, known for its rural setting and historic country estate, Matfen Hall.
 E891332 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: Matfen | Statement: [Tynedale, contains, Matfen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matfen
Context triple: [Tynedale, contains, Matfen]
  • A. Faltine
    Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
  • B. Maggu
    Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
  • C. Formon
    Formon is an alternative spelling of the surname Forman, which is associated with various individuals and families of English-speaking origin.
  • D. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • E. Milo
    Milo is a popular chocolate and malt powdered drink brand produced by Nestlé and widely consumed around the world, especially by children and athletes.
  • 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: Matfen
Triple: [Tynedale, contains, Matfen]
Generated description
Matfen is a small village and civil parish in Northumberland, England, known for its rural setting and historic country estate, Matfen Hall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matfen
Target entity description: Matfen is a small village and civil parish in Northumberland, England, known for its rural setting and historic country estate, Matfen Hall.
  • A. Faltine
    Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
  • B. Maggu
    Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
  • C. Formon
    Formon is an alternative spelling of the surname Forman, which is associated with various individuals and families of English-speaking origin.
  • D. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • E. Milo
    Milo is a writer best known for contributing to the song "Young, Wild & Free."
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516cebe881909ed358a7641f6a12 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d7b32081909dd5f8ae3fe293be completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.