Triple
T9031857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chakhesang Naga |
E216390
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Khezha language
The Khezha language is a Sino-Tibetan language spoken primarily by the Chakhesang Naga community in northeastern India.
|
E772405
|
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: Khezha language | Statement: [Chakhesang Naga, hasLanguage, Khezha language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khezha language Context triple: [Chakhesang Naga, hasLanguage, Khezha language]
-
A.
Ezha language
The Ezha language is an Afroasiatic Semitic language spoken by the Ezha people of Ethiopia as part of the Gurage linguistic group.
-
B.
Hezhen language
The Hezhen language is a critically endangered Tungusic language spoken by the Hezhen (Nanai) people of northeastern China along the Amur and Ussuri rivers.
-
C.
Kaxabu language
The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
-
D.
Khortha language
Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
-
E.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
- 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: Khezha language Triple: [Chakhesang Naga, hasLanguage, Khezha language]
Generated description
The Khezha language is a Sino-Tibetan language spoken primarily by the Chakhesang Naga community in northeastern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khezha language Target entity description: The Khezha language is a Sino-Tibetan language spoken primarily by the Chakhesang Naga community in northeastern India.
-
A.
Ezha language
The Ezha language is an Afroasiatic Semitic language spoken by the Ezha people of Ethiopia as part of the Gurage linguistic group.
-
B.
Hezhen language
The Hezhen language is a critically endangered Tungusic language spoken by the Hezhen (Nanai) people of northeastern China along the Amur and Ussuri rivers.
-
C.
Kaxabu language
The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
-
D.
Khortha language
Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
-
E.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6a9f2c7481909b4a272183f20585 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc9c6e08190aa71d84316afc6d5 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdcb95b508190b9d5562f4248e074 |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd3293888190a9cd5e0621c2fe10 |
completed | April 3, 2026, 3:30 p.m. |
Created at: March 30, 2026, 7:08 p.m.