Triple
T433148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajasthan |
E9756
|
entity |
| Predicate | regionalLanguage |
P237
|
FINISHED |
| Object |
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
|
E56905
|
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: Dhundhari | Statement: [Rajasthan, regionalLanguage, Dhundhari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhundhari Context triple: [Rajasthan, regionalLanguage, Dhundhari]
-
A.
Ghat
Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert landscapes.
-
B.
Shadharwan
Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
-
C.
Purna
Purna is a river in India that serves as one of the important tributaries of the Godavari River.
-
D.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
E.
Yerrapragada
Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
- 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: Dhundhari Triple: [Rajasthan, regionalLanguage, Dhundhari]
Generated description
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dhundhari Target entity description: Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
A.
Ghat
Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert landscapes.
-
B.
Shadharwan
Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
-
C.
Purna
Purna is a river in India that serves as one of the important tributaries of the Godavari River.
-
D.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
E.
Yerrapragada
Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef084840819080653004b674cba8 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a447fa97ac8190b8a19ded2d0f520e |
completed | March 1, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69a44b9ab54c8190a0f74337479b9d7b |
completed | March 1, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44bf14ab88190bc8e699049fcdbc1 |
completed | March 1, 2026, 2:23 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.