Triple
T6728578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietic languages |
E153577
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Arem language
The Arem language is a highly endangered Vietic language spoken by a small ethnic minority in parts of Laos and Vietnam.
|
E615582
|
NE FINISHED |
How this triple was built (4 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: Arem language | Statement: [Vietic languages, hasMember, Arem language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arem language Context triple: [Vietic languages, hasMember, Arem language]
-
A.
Aja language
The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
-
B.
Tontemboan language
The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
C.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
D.
Sateré-Mawé language
The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
-
E.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arem language Triple: [Vietic languages, hasMember, Arem language]
Generated description
The Arem language is a highly endangered Vietic language spoken by a small ethnic minority in parts of Laos and Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arem language Target entity description: The Arem language is a highly endangered Vietic language spoken by a small ethnic minority in parts of Laos and Vietnam.
-
A.
Aja language
The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
-
B.
Tontemboan language
The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
C.
Banda-Ndélé language
The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
-
D.
Sateré-Mawé language
The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
-
E.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
- F. None of above. chosen
Provenance (5 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d153ef9c8190a31021227d814d82 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b00ba9c8190aaae2220972ff4f2 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70c5fc9c88190ba499b0a9e7bcbc2 |
completed | March 27, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d0fcbc08190b3a7d0de3c634a5f |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:08 p.m.