Triple
T1435322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian side of Istanbul |
E30547
|
entity |
| Predicate | hasCityPart |
P12399
|
FINISHED |
| Object | Maltepe |
E169511
|
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: Maltepe | Statement: [Asian side of Istanbul, hasCityPart, Maltepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maltepe Context triple: [Asian side of Istanbul, hasCityPart, Maltepe]
-
A.
Medinaceli
Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
-
B.
Yalova
Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
-
C.
Sancaktepe
chosen
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
D.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
E.
Çorlu
Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50250b88190a0fcf3e0cbba0b1a |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aad1a30819086df8e4ef3752263 |
completed | March 8, 2026, 2:41 p.m. |
Created at: March 1, 2026, 8 p.m.