Triple
T16986214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragıp Buluç |
E412071
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Atakule |
E86887
|
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: Atakule | Statement: [Ragıp Buluç, notableWork, Atakule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atakule Context triple: [Ragıp Buluç, notableWork, Atakule]
-
A.
Atakule
chosen
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
B.
Atakum
Atakum is a coastal district and rapidly developing urban area of the city of Samsun on Turkey’s Black Sea coast, known for its beaches and residential neighborhoods.
-
C.
Karabulak
Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
-
D.
Atakad
Atakad are a subgroup of the Atyap people, an ethnic community indigenous to southern Kaduna State in Nigeria.
-
E.
Yatağan
Yatağan is a town and district in southwestern Turkey known for its historical sites and traditional knife-making heritage.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.