Triple
T8862000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beylerbeyi |
E210912
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Üsküdar district |
E174017
|
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: Üsküdar district | Statement: [Beylerbeyi, partOf, Üsküdar district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Üsküdar district Context triple: [Beylerbeyi, partOf, Üsküdar 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.
Üsküdar
chosen
Üsküdar is a historic and densely populated district of Istanbul known for its waterfront along the Bosphorus, Ottoman-era mosques, and traditional neighborhoods.
-
C.
Bayraklı district
Bayraklı district is a coastal urban area of İzmir, Turkey, known for its modern business centers, high-rise buildings, and role as one of the city’s key commercial and residential hubs.
-
D.
Marmara District
Marmara District is an administrative district in Balıkesir Province, Turkey, encompassing several islands in the Sea of Marmara, including Avşa Island.
-
E.
Ümraniye
Ümraniye is a densely populated residential and commercial 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610263048190931bb2c3ac573a08 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e2df0a988190a23a87dff30af98f |
completed | April 4, 2026, 10:07 a.m. |
Created at: March 30, 2026, 6:50 p.m.