Triple
T5615537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayanic languages |
E147467
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Uma’ Leken language |
E534743
|
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: Uma’ Leken language | Statement: [Kayanic languages, hasMember, Uma’ Leken language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uma’ Leken language Context triple: [Kayanic languages, hasMember, Uma’ Leken language]
-
A.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Lendu language
The Lendu language is a Central Sudanic language spoken primarily by the Lendu people in northeastern Democratic Republic of the Congo.
-
D.
Uma’ Lasan language
chosen
The Uma’ Lasan language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
-
E.
Lengo language
The Lengo language is an Oceanic language spoken on Guadalcanal in the Solomon Islands, known for its place within the Southeast Solomonic subgroup.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021d8d600819097df4e265e262d90 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a0ab9cc8190a01c5309e6cfc598 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:39 p.m.