Triple
T1676744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin Peng |
E36246
|
entity |
| Predicate | politicalStatusInMalaysia |
P31640
|
FINISHED |
| Object | banned from entering Malaysia after independence |
—
|
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: banned from entering Malaysia after independence | Statement: [Chin Peng, politicalStatusInMalaysia, banned from entering Malaysia after independence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStatusInMalaysia Context triple: [Chin Peng, politicalStatusInMalaysia, banned from entering Malaysia after independence]
-
A.
legalStatusOfElectors
Indicates the legal standing, rights, and recognition granted to electors under applicable laws or regulations.
-
B.
supportedPoliticalStatus
Indicates that one entity endorsed, favored, or advocated for a particular political status or position of another entity.
-
C.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
-
D.
religiousStatus
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
-
E.
statusOfIndonesia
Indicates the current condition, situation, or standing associated with Indonesia in a given context.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab271be3f4819091adcd745dec8159 |
completed | March 6, 2026, 7:12 p.m. |
Created at: March 4, 2026, 7:29 p.m.