Triple
T1409429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajasthani |
E31770
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Goaria
Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
|
E161539
|
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: Goaria | Statement: [Rajasthani, hasDialect, Goaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goaria Context triple: [Rajasthani, hasDialect, Goaria]
-
A.
Gabo
Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
-
B.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
C.
Anzures
Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
-
D.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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: Goaria Triple: [Rajasthani, hasDialect, Goaria]
Generated description
Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goaria Target entity description: Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
-
A.
Gabo
Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
-
B.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
C.
Anzures
Anzures is an upscale residential and commercial neighborhood in Mexico City known for its central location, embassies, and proximity to major business and cultural districts.
-
D.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3c10f44819085e1c4601423740d |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace578fe4c8190a4d4ced933fac0b6 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace61c6f348190bba7717b1bd7f24a |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6eeb99081908ac23a6c71faeae6 |
completed | March 8, 2026, 3:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.