Triple
T13706505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tedim Chin |
E328653
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Hmar
Hmar is an indigenous ethnic group of Northeast India and neighboring regions, known for its Tibeto-Burman language and rich cultural traditions.
|
E1056419
|
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: Hmar | Statement: [Tedim Chin, closelyRelatedTo, Hmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hmar Context triple: [Tedim Chin, closelyRelatedTo, Hmar]
-
A.
Khamti
Khamti is a Tai language variety spoken primarily by the Khamti people in parts of northeastern India and northern Myanmar.
-
B.
Thadou
Thadou is a Kuki-Chin language spoken primarily by the Thadou people in northeastern India and neighboring regions.
-
C.
Monpa
Monpa are an indigenous ethnic group of the eastern Himalayas, primarily inhabiting the Tawang and West Kameng regions, known for their Tibetan Buddhist culture, traditional crafts, and high-altitude agrarian lifestyle.
-
D.
Moirang
Moirang is a historic town in Manipur, India, known for its cultural heritage and proximity to the famous Loktak Lake.
-
E.
Zangla
Zangla is a remote village in the Zanskar region of Ladakh, India, known for its historic monastery and dramatic high-altitude Himalayan landscape.
- 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: Hmar Triple: [Tedim Chin, closelyRelatedTo, Hmar]
Generated description
Hmar is an indigenous ethnic group of Northeast India and neighboring regions, known for its Tibeto-Burman language and rich cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hmar Target entity description: Hmar is an indigenous ethnic group of Northeast India and neighboring regions, known for its Tibeto-Burman language and rich cultural traditions.
-
A.
Khamti
Khamti is a Tai language variety spoken primarily by the Khamti people in parts of northeastern India and northern Myanmar.
-
B.
Thadou
Thadou is a Kuki-Chin language spoken primarily by the Thadou people in northeastern India and neighboring regions.
-
C.
Monpa
Monpa are an indigenous ethnic group of the eastern Himalayas, primarily inhabiting the Tawang and West Kameng regions, known for their Tibetan Buddhist culture, traditional crafts, and high-altitude agrarian lifestyle.
-
D.
Moirang
Moirang is a historic town in Manipur, India, known for its cultural heritage and proximity to the famous Loktak Lake.
-
E.
Zangla
Zangla is a remote village in the Zanskar region of Ladakh, India, known for its historic monastery and dramatic high-altitude Himalayan landscape.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d52b3708190ae0945e65b271556 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79df2984c8190bed380102ade0725 |
completed | May 3, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79e7d50a88190b2a90094dd6d48ad |
completed | May 3, 2026, 7:14 p.m. |
Created at: April 9, 2026, 9:54 p.m.