Triple
T13251215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kızılay |
E315533
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Meşrutiyet Street |
E994498
|
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: Meşrutiyet Street | Statement: [Kızılay, hasLandmark, Meşrutiyet Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meşrutiyet Street Context triple: [Kızılay, hasLandmark, Meşrutiyet Street]
-
A.
Gazi Boulevard
Gazi Boulevard is a major thoroughfare in İzmir, Turkey, known for its central location, commercial activity, and proximity to key landmarks such as Konak Square.
-
B.
Halil Rıfat Paşa Street
Halil Rıfat Paşa Street is a notable thoroughfare in İzmir’s historic Karataş neighborhood, known for its steep incline and proximity to the famous Asansör (elevator) landmark.
-
C.
Tunalı Hilmi Avenue
chosen
Tunalı Hilmi Avenue is a major commercial and social hub in Ankara, Turkey, known for its shops, cafes, and vibrant street life.
-
D.
Atatürk Boulevard
Atatürk Boulevard is a major thoroughfare in Istanbul, Turkey, serving as a key north–south artery through the historic peninsula.
-
E.
Doganbey Street
Doganbey Street is a local street in the Anıttepe neighborhood, an urban area of Ankara, Turkey.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72664b9a48190a76e0c3dfaaf3d7a |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.