Triple
T9051110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thavung |
E216883
|
entity |
| Predicate | hasLanguageRelation |
P3349
|
FINISHED |
| Object | related to languages spoken by Kinh people |
—
|
LITERAL 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: related to languages spoken by Kinh people | Statement: [Thavung, hasLanguageRelation, related to languages spoken by Kinh people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageRelation Context triple: [Thavung, hasLanguageRelation, related to languages spoken by Kinh people]
-
A.
hasStandardLanguageRelation
Indicates that there exists a standardized linguistic relationship between two entities, such as one being the standard or reference language form for the other.
-
B.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
C.
hasLanguageRepresentation
Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
-
D.
hasLanguages
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
-
E.
hasLanguageGroup
chosen
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
- F. None of above.
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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.