Triple
T1055383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Sciences and Arts of Kosovo |
E22789
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ASHAK
ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
|
E121289
|
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: ASHAK | Statement: [Academy of Sciences and Arts of Kosovo, abbreviation, ASHAK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASHAK Context triple: [Academy of Sciences and Arts of Kosovo, abbreviation, ASHAK]
-
A.
Abasha
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
-
B.
Askim
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
-
C.
Al Shux
Al Shux is a British record producer and songwriter best known for his work on hit tracks like Jay-Z and Alicia Keys' "Empire State of Mind" and its sequel.
-
D.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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: ASHAK Triple: [Academy of Sciences and Arts of Kosovo, abbreviation, ASHAK]
Generated description
ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASHAK Target entity description: ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
-
A.
Abasha
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
-
B.
ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
-
C.
Askim
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
-
D.
Al Shux
Al Shux is a British record producer and songwriter best known for his work on hit tracks like Jay-Z and Alicia Keys' "Empire State of Mind" and its sequel.
-
E.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd110ac8190b66163de42bd3034 |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3d4b32348190883244f2b8af32a0 |
completed | March 7, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3dbf5c70819084a942fc97a9b50f |
completed | March 7, 2026, 3:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.