Triple
T15783814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atakule Tower |
E382684
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Çankaya district |
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 district | Statement: [Atakule Tower, locatedIn, Çankaya district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çankaya district Context triple: [Atakule Tower, locatedIn, Çankaya district]
-
A.
Şişli district
Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
-
B.
Sincan district
Sincan district is a suburban area of Ankara, Turkey, known for its residential neighborhoods and industrial zones within the metropolitan region.
-
C.
Kağıthane district
Kağıthane district is an urban area on the European side of Istanbul, Turkey, known for its rapid modernization and mixed residential and commercial neighborhoods.
-
D.
Bayrampaşa district
Bayrampaşa district is a densely populated working- and middle-class district on the European side of Istanbul, known for its industrial areas, major transport hubs, and large bus terminal.
-
E.
Çankaya
chosen
Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa937f2a881908849fcded786905f |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.