Triple
T9269356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron |
E222782
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Shagawu Ron
Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
|
E788813
|
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: Shagawu Ron | Statement: [Ron, hasDialect, Shagawu Ron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shagawu Ron Context triple: [Ron, hasDialect, Shagawu Ron]
-
A.
Shobu Yarlagadda
Shobu Yarlagadda is an Indian film producer and co-founder of Arka Mediaworks, best known for backing the epic Baahubali film franchise.
-
B.
Hyakuichi Shinron
Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
-
C.
Mahas Nobiin
Mahas Nobiin is a dialect of the Nobiin Nubian language traditionally spoken by the Mahas people along the Nile in northern Sudan and southern Egypt.
-
D.
Shimo Senbon
Shimo Senbon is the lower area of Mount Yoshino famed for its dense groves of cherry trees that create spectacular spring blossom views.
-
E.
Shōhō
Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
- 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: Shagawu Ron Triple: [Ron, hasDialect, Shagawu Ron]
Generated description
Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shagawu Ron Target entity description: Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
-
A.
Shobu Yarlagadda
Shobu Yarlagadda is an Indian film producer and co-founder of Arka Mediaworks, best known for backing the epic Baahubali film franchise.
-
B.
Hyakuichi Shinron
Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
-
C.
Mahas Nobiin
Mahas Nobiin is a dialect of the Nobiin Nubian language traditionally spoken by the Mahas people along the Nile in northern Sudan and southern Egypt.
-
D.
Shimo Senbon
Shimo Senbon is the lower area of Mount Yoshino famed for its dense groves of cherry trees that create spectacular spring blossom views.
-
E.
Shōhō
Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2239a08190b954c8c57ced8fd2 |
completed | April 4, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69d09cf11e488190b61f4a61002454e6 |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e2450048190b5aa31507e54d6c8 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:33 p.m.