Triple
T25160991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKI |
E626436
|
entity |
| Predicate | legalStatusInIndonesia |
P62531
|
FINISHED |
| Object | banned |
—
|
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 | Statement: [PKI, legalStatusInIndonesia, banned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInIndonesia Context triple: [PKI, legalStatusInIndonesia, banned]
-
A.
statusInIndonesia
chosen
Indicates the legal, social, or operational standing or condition of an entity specifically within the context of Indonesia.
-
B.
legalStatusAccordingToIndia
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of India.
-
C.
statusOfIndonesia
Indicates the current condition, situation, or standing associated with Indonesia in a given context.
-
D.
legalStatusOfPhilippines
Indicates the legal or political status that the Philippines holds in relation to another governing authority or international framework.
-
E.
legalStatusInChina
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 18, 2026, 6:31 a.m.