Triple
T5895674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desiya |
E131094
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Desia |
E131094
|
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: Desia | Statement: [Desiya, hasAlternativeName, Desia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desia Context triple: [Desiya, hasAlternativeName, Desia]
-
A.
Desiya
chosen
Desiya is a regional dialect spoken in parts of Odisha, India, influenced by Odia and neighboring tribal and Indo-Aryan languages.
-
B.
Badesi
Badesi is a coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its long sandy beaches and tourism.
-
C.
Dijlah
Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
D.
Dessai
Dessai is a variant transliteration of the Indian surname Desai, commonly found among communities in western and southern India.
-
E.
Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f3364c81909353f62ca483f24f |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1558fa48190a6ecde69c1477863 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.