Triple
T14246339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Արարատ |
E353143
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ararat massif |
E71048
|
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: Ararat massif | Statement: [Արարատ, partOf, Ararat massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ararat massif Context triple: [Արարատ, partOf, Ararat massif]
-
A.
Mount Ararat
chosen
Mount Ararat is a prominent snow-capped volcanic massif in eastern Turkey traditionally revered as the resting place of Noah’s Ark and a powerful cultural and national symbol for Armenians.
-
B.
Ararat
Ararat is a regional city in western Victoria, Australia, known as a service and gateway centre for nearby natural attractions and agricultural areas.
-
C.
Mount Aragats
Mount Aragats is a prominent dormant stratovolcano in Armenia and the country’s highest peak, known for its four summits and panoramic views over the surrounding highlands.
-
D.
Ağrı Plateau
Ağrı Plateau is a high-altitude volcanic plateau in eastern Turkey, dominated by Mount Ararat and known for its rugged terrain and harsh climate.
-
E.
Kopet Dagh
Kopet Dagh is a mountain range in Central Asia forming part of the natural border between Turkmenistan and Iran.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de629464f88190817b190731bab156 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3256026c8190814dd8ccd79c4b53 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.