Triple
T6442245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chakma language |
E138251
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Changma Bhach
Changma Bhach is the endonym used by speakers of the Chakma language to refer to their own language.
|
E593933
|
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: Changma Bhach | Statement: [Chakma language, nativeName, Changma Bhach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changma Bhach Context triple: [Chakma language, nativeName, Changma Bhach]
-
A.
Changma Vaj
Changma Vaj is the endonym used by speakers of the Chakma language to refer to their own language.
-
B.
Chang La
Chang La is a high-altitude mountain pass in the Indian Himalayas, known as one of the world’s highest motorable roads and a key route toward the Pangong Lake region in Ladakh.
-
C.
Changana
Changana is a Bantu language spoken primarily in southern Mozambique and neighboring regions, known for its significant influence on local varieties of African Portuguese.
-
D.
Chanda
Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
-
E.
Chakhesang Naga
The Chakhesang Naga are an indigenous Naga community of northeastern India known for their rich cultural traditions, festivals, and distinct language varieties.
- 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: Changma Bhach Triple: [Chakma language, nativeName, Changma Bhach]
Generated description
Changma Bhach is the endonym used by speakers of the Chakma language to refer to their own language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Changma Bhach Target entity description: Changma Bhach is the endonym used by speakers of the Chakma language to refer to their own language.
-
A.
Changma Vaj
chosen
Changma Vaj is the endonym used by speakers of the Chakma language to refer to their own language.
-
B.
Chang La
Chang La is a high-altitude mountain pass in the Indian Himalayas, known as one of the world’s highest motorable roads and a key route toward the Pangong Lake region in Ladakh.
-
C.
Changana
Changana is a Bantu language spoken primarily in southern Mozambique and neighboring regions, known for its significant influence on local varieties of African Portuguese.
-
D.
Chanda
Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
-
E.
Chakhesang Naga
The Chakhesang Naga are an indigenous Naga community of northeastern India known for their rich cultural traditions, festivals, and distinct language varieties.
- F. None of above.
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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06989dfb88190b25ff8b2c53f3ced |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65390257c819097706c35b3aebc8e |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c654907e1081908a322bd8ac03cd88 |
completed | March 27, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c654fafcd88190b28d49e9fe264246 |
completed | March 27, 2026, 9:59 a.m. |
Created at: March 22, 2026, 4:46 p.m.