Triple
T22930490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumkapı |
E569423
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Yenikapı |
—
|
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: Yenikapı | Statement: [Kumkapı, locatedNear, Yenikapı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yenikapı Context triple: [Kumkapı, locatedNear, Yenikapı]
-
A.
Yenikapı
chosen
Yenikapı is a coastal neighborhood and major transportation hub in Istanbul, known for its ferry port, metro connections, and large public square used for rallies and events.
-
B.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
C.
Çerkezköy
Çerkezköy is an industrial and residential town in northwestern Turkey, located in Tekirdağ Province within the Thrace region.
-
D.
Reyhanlı
Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
-
E.
Yenipazar
Yenipazar is a small town and district in northwestern Turkey known for its rural character and traditional Anatolian lifestyle.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18131956c8190b8c850fc1d57a119 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.