Triple
T13706392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakha Chin |
E328651
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Farhual
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
|
E1056415
|
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: Farhual | Statement: [Hakha Chin, hasDialects, Farhual]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farhual Context triple: [Hakha Chin, hasDialects, Farhual]
-
A.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
-
B.
Faris
Faris is the surname of American actress and comedian Anna Faris, known for her roles in the Scary Movie film series and various comedy projects.
-
C.
Fad‘an
Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
-
D.
Fazza
Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
-
E.
Fayiz
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
- 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: Farhual Triple: [Hakha Chin, hasDialects, Farhual]
Generated description
Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farhual Target entity description: Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
-
A.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
-
B.
Faris
Faris is the surname of American actress and comedian Anna Faris, known for her roles in the Scary Movie film series and various comedy projects.
-
C.
Fad‘an
Fad‘an is a subtribe of the large and historically influential Arab tribal confederation of Anizah.
-
D.
Fazza
Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
-
E.
Fayiz
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
- 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_69d8076ff62081908a7bd79889edd7a0 |
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.