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.