Triple
T9051151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arem |
E216884
|
entity |
| Predicate | officialClassificationInVietnam |
P24573
|
FINISHED |
| Object | subgroup of Chut 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: subgroup of Chut people | Statement: [Arem, officialClassificationInVietnam, subgroup of Chut people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialClassificationInVietnam Context triple: [Arem, officialClassificationInVietnam, subgroup of Chut people]
-
A.
officialCategoryIn
Indicates that an entity is formally classified within a specific official category or grouping in a given system or context.
-
B.
governingClassification
Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
-
C.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
D.
officialClassificationCount
Indicates the number of official classifications that have been assigned to an entity.
-
E.
isClassifiedUnder
chosen
Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
- 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.