Triple
T14246330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Արարատ |
E353143
|
entity |
| Predicate | hasNameInKurdish |
P15503
|
FINISHED |
| Object | Çiyayê Agirî |
E353144
|
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: Çiyayê Agirî | Statement: [Արարատ, hasNameInKurdish, Çiyayê Agirî]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çiyayê Agirî Context triple: [Արարատ, hasNameInKurdish, Çiyayê Agirî]
-
A.
Çiyayê Agirî
chosen
Çiyayê Agirî is the Kurdish name for Mount Ararat, the iconic snow-capped volcanic peak in eastern Turkey traditionally associated with the landing place of Noah’s Ark.
-
B.
Ghogha
Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
-
C.
Aghul
Aghul is a Northeast Caucasian language spoken by the Aghul people in southern Dagestan, Russia.
-
D.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
E.
Tarkarli
Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
- 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_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.