Triple
T7124827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishing language |
E166033
|
entity |
| Predicate | subfamily |
P4180
|
FINISHED |
| Object |
Western Tani
Western Tani is a subgroup of the Tani branch of Sino-Tibetan languages spoken primarily in northeastern India, encompassing languages such as Mishing.
|
E644050
|
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: Western Tani | Statement: [Mishing language, subfamily, Western Tani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Western Tani Context triple: [Mishing language, subfamily, Western Tani]
-
A.
Western Stand
Western Stand is a major spectator grandstand at Adelaide Oval, providing seating and facilities for fans at the historic sports stadium in Adelaide, South Australia.
-
B.
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
-
C.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
D.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
E.
Tama West
Tama West is a local administrative and residential area within the broader Tama region of western Tokyo, Japan.
- 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: Western Tani Triple: [Mishing language, subfamily, Western Tani]
Generated description
Western Tani is a subgroup of the Tani branch of Sino-Tibetan languages spoken primarily in northeastern India, encompassing languages such as Mishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Western Tani Target entity description: Western Tani is a subgroup of the Tani branch of Sino-Tibetan languages spoken primarily in northeastern India, encompassing languages such as Mishing.
-
A.
Western Stand
Western Stand is a major spectator grandstand at Adelaide Oval, providing seating and facilities for fans at the historic sports stadium in Adelaide, South Australia.
-
B.
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
-
C.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
D.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
E.
Tama West
Tama West is a local administrative and residential area within the broader Tama region of western Tokyo, Japan.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64c0f688190a9b7482d86c2f033 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a331ff988190886bde89035623c0 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a46d95b88190bbadf3e8d1788489 |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a52e6a1c8190bf45e0aa7a920baf |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 27, 2026, 2:44 p.m.