Triple
T13333613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მარნეული |
E317631
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
სომხები
სომხები არიან სამხრეთ კავკასიის რეგიონში ისტორიულად ჩამოყალიბებული ხალხი, რომელთაც საკუთარი ენა, კულტურა და ქრისტიანული ტრადიციები აქვთ და სომხეთის რესპუბლიკის ძირითადი მოსახლეობა შეადგენენ.
|
E1035253
|
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: სომხები | Statement: [მარნეული, hasEthnicGroup, სომხები]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: სომხები Context triple: [მარნეული, hasEthnicGroup, სომხები]
-
A.
сомони
сомони — это денежная единица Таджикистана, названная в честь основателя таджикской государственности Исмоили Сомони.
-
B.
SÖM
SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
-
C.
Somosomo
Somosomo is a coastal village on the Fijian island of Taveuni, known as a traditional center of chiefly authority and local administration.
-
D.
Soyembika
Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
-
E.
Sochalien
Sochalien is the French demonym for an inhabitant or native of the town of Sochaux in eastern France.
- 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: სომხები Triple: [მარნეული, hasEthnicGroup, სომხები]
Generated description
სომხები არიან სამხრეთ კავკასიის რეგიონში ისტორიულად ჩამოყალიბებული ხალხი, რომელთაც საკუთარი ენა, კულტურა და ქრისტიანული ტრადიციები აქვთ და სომხეთის რესპუბლიკის ძირითადი მოსახლეობა შეადგენენ.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: სომხები Target entity description: სომხები არიან სამხრეთ კავკასიის რეგიონში ისტორიულად ჩამოყალიბებული ხალხი, რომელთაც საკუთარი ენა, კულტურა და ქრისტიანული ტრადიციები აქვთ და სომხეთის რესპუბლიკის ძირითადი მოსახლეობა შეადგენენ.
-
A.
сомони
сомони — это денежная единица Таджикистана, названная в честь основателя таджикской государственности Исмоили Сомони.
-
B.
SÖM
SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
-
C.
Somosomo
Somosomo is a coastal village on the Fijian island of Taveuni, known as a traditional center of chiefly authority and local administration.
-
D.
Soyembika
Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
-
E.
Sochalien
Sochalien is the French demonym for an inhabitant or native of the town of Sochaux in eastern France.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f36e4cc819093007404ceb5da31 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f72126765481908ef6e6ae7349bd30 |
completed | May 3, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221af9e881908b65ab2e7aec0c78 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:30 p.m.