Triple
T19290944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orhan Gazi Tomb |
E482437
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Tophane |
—
|
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: Tophane | Statement: [Orhan Gazi Tomb, locatedInNeighborhood, Tophane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tophane Context triple: [Orhan Gazi Tomb, locatedInNeighborhood, Tophane]
-
A.
Karacasu
Karacasu is a district in western Turkey known for its proximity to the ancient city of Aphrodisias and its traditional pottery.
-
B.
Bağçasaray
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
-
C.
Tophane Park
chosen
Tophane Park is a historic green area in Bursa, Turkey, known for housing important Ottoman landmarks and offering panoramic views of the city.
-
D.
Kanlıca
Kanlıca is a historic Bosphorus neighborhood on Istanbul’s Asian side, famed for its waterfront views and traditional thick yogurt.
-
E.
Nişantaşı
Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc05c9dc8190846b279f82ae0fa3 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.