Triple
T5422714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Sciences and Arts of Kosovo |
E121289
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ASHAK |
E121289
|
NE FINISHED |
How this triple was built (2 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, shortName, 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, shortName, ASHAK]
-
A.
ASHAK
chosen
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.
-
B.
ashik
An ashik is a traditional Turkic bard and folk musician who performs narrative poetry and epic tales, often accompanying themselves on a long-necked lute.
-
C.
asha
Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
-
D.
Asake
Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
-
E.
Abasha
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87ec45c48190a8a25bf582b02440 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab7f6b481908fead172fbdafe36 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.