Triple
T30039728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerantut |
E763261
|
entity |
| Predicate | hasCommonEthnicGroup |
P202854
|
FINISHED |
| Object | Malays |
—
|
NE NERFINISHED |
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: Malays | Statement: [Jerantut, hasCommonEthnicGroup, Malays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonEthnicGroup Context triple: [Jerantut, hasCommonEthnicGroup, Malays]
-
A.
commonInEthnicGroup
Indicates that something (such as a trait, condition, or characteristic) occurs with notable frequency within a specified ethnic group.
-
B.
mayBelongToEthnicGroup
Indicates that an entity is possibly, but not certainly, a member of a specified ethnic group.
-
C.
hasEthnicGroupType
Indicates that an entity is associated with, characterized by, or classified according to a particular type or category of ethnic group.
-
D.
isUsedByEthnicGroup
Indicates that something (such as an object, practice, or resource) is utilized or employed by a particular ethnic group.
-
E.
relatedEthnicGroup
Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
- F. None of above. chosen
Provenance (4 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00c59b03dc8190870f0dd24603a1ef |
completed | May 10, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_6a00c5178bc88190b2a0e03f38314035 |
completed | May 10, 2026, 5:49 p.m. |
| PDg | Predicate description generation | batch_6a00c59a1af88190848c5b1775af9caa |
completed | May 10, 2026, 5:51 p.m. |
Created at: April 29, 2026, 6:52 p.m.