Triple
T8751183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Barito |
E207958
|
entity |
| Predicate | ancestorOf |
P369
|
FINISHED |
| Object | Ngaju language |
E150506
|
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: Ngaju language | Statement: [Proto-Barito, ancestorOf, Ngaju language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngaju language Context triple: [Proto-Barito, ancestorOf, Ngaju language]
-
A.
Ngaju language
chosen
The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
-
B.
Aja language
The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
-
C.
Parji language
The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
-
D.
Uduk language
The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
-
E.
Kalumpang language
The Kalumpang language is an Austronesian language of Sulawesi, Indonesia, belonging to the South Sulawesi subgroup and closely associated with the Toraja linguistic area.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4326d8cc8190900f5f91da6ef6c8 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.