Triple
T14251726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aksaray Province |
E353283
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hasan Mountain |
E1086407
|
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 Mountain | Statement: [Aksaray Province, contains, Hasan Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasan Mountain Context triple: [Aksaray Province, contains, Hasan Mountain]
-
A.
Hasan Mountain
chosen
Hasan Mountain is a prominent dormant stratovolcano in central Turkey, known for its distinctive twin-peaked summit and significance as a regional natural landmark.
-
B.
Akbaba Peak
Akbaba Peak is the tallest summit in Turkey’s Munzur Mountains, known for its rugged alpine terrain and scenic highland landscapes.
-
C.
Gele Mountain
Gele Mountain is a scenic and historically significant mountain area in Chongqing, China, known for its natural landscapes and former wartime sites.
-
D.
Mount Barkan
Mount Barkan is the highest peak in Israel’s Gilboa mountain range, known for its scenic views and surrounding nature reserves.
-
E.
Achasan Mountain
Achasan Mountain is a low, scenic peak on the outskirts of Seoul and Guri in South Korea, known for its easy hiking trails and panoramic views of the Han River and city skyline.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325a14b881909522b6fbbcc6326f |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.