Triple
T9461219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopet Dag mountains |
E228147
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Koppeh Dagh |
E800937
|
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: Koppeh Dagh | Statement: [Kopet Dag mountains, alternativeName, Koppeh Dagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koppeh Dagh Context triple: [Kopet Dag mountains, alternativeName, Koppeh Dagh]
-
A.
Taq-e Bostan
Taq-e Bostan is a series of impressive Sassanid-era rock reliefs and carvings set into a cliffside near Kermanshah in western Iran.
-
B.
Kopet Dagh
chosen
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
-
C.
Kel Adagh
Kel Adagh is a Tuareg confederation traditionally inhabiting the mountainous Adrar des Ifoghas region of northeastern Mali and parts of the central Sahara.
-
D.
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.
-
E.
Dykh-Tau
Dykh-Tau is one of the highest and most prominent mountains in the Caucasus range, located on the border of Russia and Georgia.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ce01b548190a30f6cc7f3084b06 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:52 p.m.