Triple
T10489753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koman |
E247383
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Uduk |
E721556
|
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: Uduk | Statement: [Koman, hasMemberLanguage, Uduk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uduk Context triple: [Koman, hasMemberLanguage, Uduk]
-
A.
Uduk
chosen
Uduk are an indigenous ethnic group of northeastern Africa, primarily inhabiting the border regions of Sudan and Ethiopia, known for their distinct language and traditional agro-pastoral lifestyle.
-
B.
Kudawa
Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
-
C.
Gadjang
Gadjang is an Aboriginal Australian language variety associated with the Worimi people of New South Wales.
-
D.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
E.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:23 p.m.