Triple
T654677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aswan |
E11620
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Swenett
Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
|
E84747
|
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: Swenett | Statement: [Aswan, formerName, Swenett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swenett Context triple: [Aswan, formerName, Swenett]
-
A.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
-
B.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
C.
Rackwick
Rackwick is a small, remote coastal settlement on the island of Hoy in Orkney, Scotland, known for its dramatic cliffs, sandy bay, and rugged natural scenery.
-
D.
Trudaine
Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
-
E.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
- 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: Swenett Triple: [Aswan, formerName, Swenett]
Generated description
Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swenett Target entity description: Swenett is the ancient Egyptian city known today as Aswan, a historic frontier town on the Nile near Egypt’s southern border.
-
A.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
-
B.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
C.
Rackwick
Rackwick is a small, remote coastal settlement on the island of Hoy in Orkney, Scotland, known for its dramatic cliffs, sandy bay, and rugged natural scenery.
-
D.
Trudaine
Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
-
E.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4bb5b881908a18b5ec1c94e0cf |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc95ec20819082117e90f032d381 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5e4149e388190962aaf860aba5938 |
completed | March 2, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a600246a388190b85742ffe7404b79 |
completed | March 2, 2026, 9:24 p.m. |
Created at: March 1, 2026, 7:36 p.m.