Triple
T9577719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sawunese language |
E231085
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Dhao language |
E231083
|
NE FINISHED |
How this triple was built (2 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: Dhao language | Statement: [Sawunese language, closelyRelatedTo, Dhao language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhao language Context triple: [Sawunese language, closelyRelatedTo, Dhao language]
-
A.
Dhanka language
Dhanka is an Indo-Aryan tribal language variety considered a dialect within the Bhili language group of western India.
-
B.
Thadou language
Thadou language is a Kuki-Chin language spoken primarily by the Thadou people in northeastern India and neighboring regions.
-
C.
Rengma language
Rengma language is a Tibeto-Burman language spoken primarily by the Rengma Naga people in the northeastern region of India.
-
D.
Dawan language
chosen
The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
-
E.
Dawro language
The Dawro language is an Omotic language of southwestern Ethiopia spoken by the Dawro people and closely related to Wolaytta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ad7d108190a0b8c975351ea727 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16155b3288190ac135c3a1e58cc7e |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:05 p.m.