Triple
T22620198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gündoğdu |
E558253
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Marmara District |
—
|
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: Marmara District | Statement: [Gündoğdu, countrySubdivision, Marmara District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marmara District Context triple: [Gündoğdu, countrySubdivision, Marmara District]
-
A.
Marmara District
chosen
Marmara District is an administrative district in Balıkesir Province, Turkey, encompassing several islands in the Sea of Marmara, including Avşa Island.
-
B.
Körfez district
Körfez district is an administrative district within Turkey’s Kocaeli Province, located along the Gulf of İzmit in the industrialized Marmara region.
-
C.
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.
-
D.
Üsküdar
Üsküdar is a historic and densely populated district of Istanbul known for its waterfront along the Bosphorus, Ottoman-era mosques, and traditional neighborhoods.
-
E.
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.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e383b048190a432c540185916d0 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.