Triple
T12407666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berat Albayrak |
E296428
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Berat |
E422594
|
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: Berat | Statement: [Berat Albayrak, givenName, Berat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berat Context triple: [Berat Albayrak, givenName, Berat]
-
A.
Berat
chosen
Berat is a historic city in central Albania renowned for its well-preserved Ottoman architecture and hillside houses, earning it the nickname "the city of a thousand windows" and recognition as a UNESCO World Heritage Site.
-
B.
Waase
Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
-
C.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Serua
Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4a08e0819085c656e35038e6b2 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63488cac08190a81b2151c827932e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.