Triple
T1157716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odia |
E24420
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Kataki Odia
Kataki Odia is a regional dialect of the Odia language spoken in and around the city of Cuttack in the Indian state of Odisha.
|
E151761
|
NE FINISHED |
How this triple was built (4 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: Kataki Odia | Statement: [Odia, hasDialect, Kataki Odia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kataki Odia Context triple: [Odia, hasDialect, Kataki Odia]
-
A.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
B.
Hirakata
Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
-
C.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
D.
Yokoi Shōnan
Yokoi Shōnan was a late Edo and early Meiji-era Japanese political thinker and reformist samurai known for advocating Western-style modernization and national strengthening.
-
E.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kataki Odia Triple: [Odia, hasDialect, Kataki Odia]
Generated description
Kataki Odia is a regional dialect of the Odia language spoken in and around the city of Cuttack in the Indian state of Odisha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kataki Odia Target entity description: Kataki Odia is a regional dialect of the Odia language spoken in and around the city of Cuttack in the Indian state of Odisha.
-
A.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
B.
Hirakata
Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
-
C.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
D.
Yokoi Shōnan
Yokoi Shōnan was a late Edo and early Meiji-era Japanese political thinker and reformist samurai known for advocating Western-style modernization and national strengthening.
-
E.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
- F. None of above. chosen
Provenance (5 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcab3cd08190ad06ea007042a8fc |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf13304881908aa74d92ef7b1c86 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf873544819099d3dff98a6b2244 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc06483b08190b5b29f684b83f43f |
completed | March 8, 2026, 12:18 a.m. |
Created at: March 1, 2026, 7:45 p.m.