Triple
T4058327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swenett |
E84747
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Siene
Siene is an alternative name for Swenett, the ancient Egyptian city located at modern-day Aswan near Egypt’s southern border.
|
E411866
|
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: Siene | Statement: [Swenett, hasAlternativeName, Siene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siene Context triple: [Swenett, hasAlternativeName, Siene]
-
A.
Sinegal
Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
-
B.
Sîn
Sîn is the Mesopotamian moon god, widely worshipped in ancient Babylonian and Assyrian religion.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Singine
Singine is a river in western Switzerland that flows through the canton of Fribourg and serves as part of the linguistic boundary between French- and German-speaking regions.
-
E.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
- 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: Siene Triple: [Swenett, hasAlternativeName, Siene]
Generated description
Siene is an alternative name for Swenett, the ancient Egyptian city located at modern-day Aswan near Egypt’s southern border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siene Target entity description: Siene is an alternative name for Swenett, the ancient Egyptian city located at modern-day Aswan near Egypt’s southern border.
-
A.
Sinegal
Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
-
B.
Sîn
Sîn is the Mesopotamian moon god, widely worshipped in ancient Babylonian and Assyrian religion.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Singine
Singine is a river in western Switzerland that flows through the canton of Fribourg and serves as part of the linguistic boundary between French- and German-speaking regions.
-
E.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a6250081908f289f43b066b04d |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b3db0481909f3dd2a9e6a88e6e |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b567e223cc8190aa1d7e827e6c70fd |
completed | March 14, 2026, 1:51 p.m. |
Created at: March 9, 2026, 3:38 p.m.