Triple
T22569910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahakiranti (proposed) |
E558050
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Thami language
The Thami language is a lesser-known Sino-Tibetan language spoken by the Thami ethnic community in Nepal.
|
E1543631
|
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: Thami language | Statement: [Mahakiranti (proposed), includesLanguage, Thami language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thami language Context triple: [Mahakiranti (proposed), includesLanguage, Thami language]
-
A.
Thakali language
The Thakali language is a Tibeto-Burman language spoken by the Thakali people of Nepal’s Kali Gandaki region, known for its distinct dialects and close relation to neighboring Himalayan languages.
-
B.
Thari language
Thari language is an Indo-Aryan language spoken primarily by the Thari (Thar) people of Pakistan’s Thar Desert region.
-
C.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
-
D.
Teguima language
The Teguima language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico.
-
E.
Thakri language
Thakri is a lesser-known Southern Indo-Aryan language spoken by regional communities in the Indian subcontinent.
- 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: Thami language Triple: [Mahakiranti (proposed), includesLanguage, Thami language]
Generated description
The Thami language is a lesser-known Sino-Tibetan language spoken by the Thami ethnic community in Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thami language Target entity description: The Thami language is a lesser-known Sino-Tibetan language spoken by the Thami ethnic community in Nepal.
-
A.
Thakali language
The Thakali language is a Tibeto-Burman language spoken by the Thakali people of Nepal’s Kali Gandaki region, known for its distinct dialects and close relation to neighboring Himalayan languages.
-
B.
Thari language
Thari language is an Indo-Aryan language spoken primarily by the Thari (Thar) people of Pakistan’s Thar Desert region.
-
C.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
-
D.
Teguima language
The Teguima language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico.
-
E.
Thakri language
Thakri is a lesser-known Southern Indo-Aryan language spoken by regional communities in the Indian subcontinent.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fad35448190b51a3dd639ca8568 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d75f8fc8190af7282848379184d |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37a1ecc08190ac89e862582833a0 |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.