Triple
T12411045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hasan |
E296512
|
entity |
| Predicate | hasTurkishName |
P15502
|
FINISHED |
| Object | Hasan Dağı |
E982090
|
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: Hasan Dağı | Statement: [Mount Hasan, hasTurkishName, Hasan Dağı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasan Dağı Context triple: [Mount Hasan, hasTurkishName, Hasan Dağı]
-
A.
Hasan Dağı
chosen
Hasan Dağı is a prominent stratovolcano in central Turkey, notable for its twin-peaked summit and its dominance of the surrounding Cappadocian landscape.
-
B.
Göllü Dağ
Göllü Dağ is a volcanic mountain in central Turkey known for its obsidian deposits and prominent role in the region’s geological and archaeological history.
-
C.
Kaçkar Dağı
Kaçkar Dağı is a prominent peak in northeastern Turkey renowned for its rugged alpine landscapes, glacial lakes, and popularity among hikers and mountaineers.
-
D.
Palandöken
Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
-
E.
Figen Yüksekdağ
Figen Yüksekdağ is a Turkish politician and former co-chair of the pro-Kurdish Peoples' Democratic Party (HDP), known for her advocacy of minority rights and democratic reforms.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b962d1c81909c2119890d921648 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:55 p.m.