Triple

T15372239
Position Surface form Disambiguated ID Type / Status
Subject parish of Walls and Flotta E367578 entity
Predicate containsIsland P970 FINISHED
Object Fara
Fara is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged landscape and maritime heritage.
E1152470 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: Fara | Statement: [parish of Walls and Flotta, containsIsland, Fara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fara
Context triple: [parish of Walls and Flotta, containsIsland, Fara]
  • A. Fara
    Fara is a character from A. E. van Vogt’s science fiction novel "The Weapon Shops of Isher," set in a far-future empire dominated by the powerful Isher dynasty and its enigmatic weapon dealers.
  • B. Shara
    Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
  • C. Flisa
    Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
  • D. Fathia
    Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
  • E. Faiha
    Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • 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: Fara
Triple: [parish of Walls and Flotta, containsIsland, Fara]
Generated description
Fara is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged landscape and maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fara
Target entity description: Fara is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged landscape and maritime heritage.
  • A. Fara
    Fara is a character from A. E. van Vogt’s science fiction novel "The Weapon Shops of Isher," set in a far-future empire dominated by the powerful Isher dynasty and its enigmatic weapon dealers.
  • B. Shara
    Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
  • C. Flisa
    Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
  • D. Fathia
    Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
  • E. Faiha
    Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b528f408190b66d3d6e10e90a43 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0bc7dfe48190a05c2b826c7fd35c completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c51c6c081908943ddb409655ed6 completed May 9, 2026, 10:28 a.m.
Created at: April 10, 2026, 3:18 a.m.