Triple
T23094025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakha Chin language |
E575833
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Sakta
Sakta is a regional dialect variety of the Hakha Chin language spoken by a specific Chin community, primarily in parts of Myanmar.
|
E1570419
|
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: Sakta | Statement: [Hakha Chin language, hasDialects, Sakta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakta Context triple: [Hakha Chin language, hasDialects, Sakta]
-
A.
Shankari
Shankari is a revered epithet of the Hindu goddess Narmada Devi, emphasizing her aspect as a beneficent and auspicious divine mother.
-
B.
Kaumodakī Gada
Kaumodakī Gada is the legendary mace wielded by the Hindu god Vishnu, symbolizing divine strength and the power to destroy evil.
-
C.
Shakya
Shakya was an ancient Indo-Aryan clan of northern India, historically renowned as the royal lineage into which Siddhartha Gautama, the Buddha, was born.
-
D.
Sautramani
Sautramani is a specialized Vedic sacrificial ritual associated with Indra and Soma, performed to atone for ritual errors and restore cosmic and social order.
-
E.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
- 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: Sakta Triple: [Hakha Chin language, hasDialects, Sakta]
Generated description
Sakta is a regional dialect variety of the Hakha Chin language spoken by a specific Chin community, primarily in parts of Myanmar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakta Target entity description: Sakta is a regional dialect variety of the Hakha Chin language spoken by a specific Chin community, primarily in parts of Myanmar.
-
A.
Shankari
Shankari is a revered epithet of the Hindu goddess Narmada Devi, emphasizing her aspect as a beneficent and auspicious divine mother.
-
B.
Kaumodakī Gada
Kaumodakī Gada is the legendary mace wielded by the Hindu god Vishnu, symbolizing divine strength and the power to destroy evil.
-
C.
Shakya
Shakya was an ancient Indo-Aryan clan of northern India, historically renowned as the royal lineage into which Siddhartha Gautama, the Buddha, was born.
-
D.
Sautramani
Sautramani is a specialized Vedic sacrificial ritual associated with Indra and Soma, performed to atone for ritual errors and restore cosmic and social order.
-
E.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de2ed088190971ff08c58b15aad |
completed | April 29, 2026, 4:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15b97b6881909cbc1afc68ea80b6 |
completed | May 19, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_6a0c175e246081909d6451f245ccfe66 |
completed | May 19, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1820a4d88190aed59f50b4e7ec47 |
completed | May 19, 2026, 7:58 a.m. |
Created at: April 17, 2026, 3:57 p.m.