Triple
T8518456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mundari |
E201634
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Ho language |
E199648
|
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: Ho language | Statement: [Mundari, closelyRelatedTo, Ho language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ho language Context triple: [Mundari, closelyRelatedTo, Ho language]
-
A.
Ho language
chosen
Ho language is an Austroasiatic language of the Munda family spoken primarily by the Ho people in eastern India, particularly in Jharkhand and Odisha.
-
B.
Ha language
Ha language is a Bantu language spoken primarily by the Ha people in western Tanzania, particularly around the shores of Lake Tanganyika.
-
C.
Hu language
Hu language is a variety of Wu Chinese spoken primarily in and around Shanghai, known for its distinct phonology and vocabulary compared to Standard Mandarin.
-
D.
Hoava language
The Hoava language is an Oceanic language spoken by communities in the western Solomon Islands, particularly on New Georgia Island.
-
E.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe626787c819087e72dd76b2d9310 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e6c93d081909da2a748b0fa6fd3 |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:16 p.m.