Triple
T12639904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çankaya |
E301865
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Çankaya Hill |
E301865
|
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: Çankaya Hill | Statement: [Çankaya, contains, Çankaya Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çankaya Hill Context triple: [Çankaya, contains, Çankaya Hill]
-
A.
Nişantaşı
Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
-
B.
Gülhane Park
Gülhane Park is a historic urban park in Istanbul, Turkey, located adjacent to Topkapı Palace and known as one of the city’s oldest and most significant public green spaces.
-
C.
Çankaya
chosen
Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
-
D.
Ankara Castle
Ankara Castle is a historic hilltop fortress in Turkey’s capital, offering panoramic views of the city and reflecting layers of Roman, Byzantine, and Ottoman heritage.
-
E.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668754acc8190b5585dbd35387867 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:16 p.m.