Triple
T17942296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İsmail Gaspıralı |
E448614
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Bahçesaray |
—
|
NE NERFINISHED |
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: Bahçesaray | Statement: [İsmail Gaspıralı, deathPlace, Bahçesaray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahçesaray Context triple: [İsmail Gaspıralı, deathPlace, Bahçesaray]
-
A.
Karacabey
Karacabey is a town and district in northwestern Turkey known for its agriculture and proximity to both the Marmara Sea and the city of Bursa.
-
B.
Medinaceli
Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
-
C.
Mustafakemalpaşa
Mustafakemalpaşa is a town and district in northwestern Turkey known for its agricultural production and historical connection to Mustafa Kemal Atatürk.
-
D.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
E.
Bağçasaray
chosen
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.