Triple
T16215008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İstanbul Kitabı |
E393566
|
entity |
| Predicate | describes |
P264
|
FINISHED |
| Object | Golden Horn |
E32142
|
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: Golden Horn | Statement: [İstanbul Kitabı, describes, Golden Horn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Horn Context triple: [İstanbul Kitabı, describes, Golden Horn]
-
A.
Golden Horn
chosen
The Golden Horn is a historic estuary and natural harbor in Istanbul that has long served as a key waterway shaping the city's commercial and cultural life.
-
B.
Golden Horn Bay
Golden Horn Bay is a strategically important natural harbor in the Sea of Japan, forming the core waterfront of the Russian Pacific port city of Vladivostok.
-
C.
Kanlıca
Kanlıca is a historic Bosphorus neighborhood on Istanbul’s Asian side, famed for its waterfront views and traditional thick yogurt.
-
D.
Gelibolu
Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
-
E.
Zeytinburnu
Zeytinburnu is a densely populated working- and middle-class district on Istanbul’s European side, known as an early industrial area and a key transport hub within the city.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f4685c8190aa1e9304e4a62d13 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000794e6c881909c4521e4dd031971 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.