Triple

T7786607
Position Surface form Disambiguated ID Type / Status
Subject River Lowther E187260 entity
Predicate flowsThrough P225 FINISHED
Object Lowther
Lowther is a small village and civil parish in Cumbria, England, known for its historic Lowther Castle and scenic setting near the River Lowther.
 E692825 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: Lowther | Statement: [River Lowther, flowsThrough, Lowther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lowther
Context triple: [River Lowther, flowsThrough, Lowther]
  • A. Thalner
    Thalner is an ancient town in Maharashtra, India, known for its historical significance as an early political and cultural center in the Khandesh region.
  • B. Ringlow
    Ringlow is a locality in Sheffield, South Yorkshire, England, situated in the countryside near the upper reaches of the Porter Brook.
  • C. Krioyo
    Krioyo is an ethnonym referring to Creole Surinamese people of mixed African and European descent in Suriname.
  • D. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • E. Thevenard
    Thevenard is a small deep-water port town on South Australia's west coast that serves as a key export hub for grain, gypsum, and other bulk commodities from the surrounding region.
  • 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: Lowther
Triple: [River Lowther, flowsThrough, Lowther]
Generated description
Lowther is a small village and civil parish in Cumbria, England, known for its historic Lowther Castle and scenic setting near the River Lowther.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lowther
Target entity description: Lowther is a small village and civil parish in Cumbria, England, known for its historic Lowther Castle and scenic setting near the River Lowther.
  • A. Thalner
    Thalner is an ancient town in Maharashtra, India, known for its historical significance as an early political and cultural center in the Khandesh region.
  • B. Ringlow
    Ringlow is a locality in Sheffield, South Yorkshire, England, situated in the countryside near the upper reaches of the Porter Brook.
  • C. Krioyo
    Krioyo is an ethnonym referring to Creole Surinamese people of mixed African and European descent in Suriname.
  • D. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • E. Thevenard
    Thevenard is a small deep-water port town on South Australia's west coast that serves as a key export hub for grain, gypsum, and other bulk commodities from the surrounding region.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf2462248190863f838f0e077923 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf6123ad48190a50339073e91748c completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ff934819094f8089b0bd8dde7 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa512e748190a52fe462d3d59f06 completed March 30, 2026, 10:33 p.m.
Created at: March 30, 2026, 4:24 p.m.