Triple
T16447617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace of Amasya |
E399471
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Amasya |
E155529
|
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: Amasya | Statement: [Peace of Amasya, namedAfter, Amasya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amasya Context triple: [Peace of Amasya, namedAfter, Amasya]
-
A.
Amasya
chosen
Amasya is a historic city in northern Turkey, renowned for its Ottoman-era architecture, rock tombs of Pontic kings, and scenic setting along the Yeşilırmak River.
-
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.
Karabük
Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
-
D.
Afyon
Afyon is the former name of Afyonkarahisar, a city in western Turkey known for its strategic location, thermal springs, and opium poppy production.
-
E.
Elazığ
Elazığ is a city in eastern Turkey known as a regional center near the Euphrates River and the Keban Dam, with a history shaped by both ancient civilizations and modern development.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cddfc3c8190919b49f74b7e8e1a |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b31b3b4819095d0c24ee471e2a9 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:10 a.m.