Triple
T7281804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İlhan Selçuk |
E163166
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Aydın |
E315931
|
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: Aydın | Statement: [İlhan Selçuk, placeOfBirth, Aydın]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aydın Context triple: [İlhan Selçuk, placeOfBirth, Aydın]
-
A.
Aydın Province
chosen
Aydın Province is a region in western Turkey known for its fertile plains, Aegean coastline, and rich ancient heritage, including the historic area once part of Caria.
-
B.
Aksaray
Aksaray is a historic city in central Turkey known for its location on the ancient Silk Road and its proximity to the Cappadocia region.
-
C.
Kütahya
Kütahya is a historic city in western Turkey known for its Ottoman-era architecture and traditional ceramic and tile production.
-
D.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
-
E.
Denizli
Denizli is a major industrial and commercial city in western Turkey, known for its textile production and proximity to the famous Pamukkale travertine terraces.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4d3e3c8190a05cb5af5f52bd75 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa6d84b88190916b1d9ddb0d1d0d |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 2:59 p.m.