Triple
T9098841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeşilırmak River |
E218097
|
entity |
| Predicate | passesNear |
P416
|
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: [Yeşilırmak River, passesNear, Amasya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amasya Context triple: [Yeşilırmak River, passesNear, 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.
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.
-
E.
Nevşehir
Nevşehir is a city in central Turkey that serves as the main urban center and gateway to the historic, cave-dotted region of Cappadocia.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc970f340881909f5551219f151acf |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bca05c608190935af17d94c567d6 |
completed | April 5, 2026, 1:36 a.m. |
Created at: March 30, 2026, 7:15 p.m.