Triple
T11310346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Constitution of Malaysia |
E267818
|
entity |
| Predicate | citizenshipProvision |
P22055
|
FINISHED |
| Object | Part III |
—
|
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: Part III | Statement: [Federal Constitution of Malaysia, citizenshipProvision, Part III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipProvision Context triple: [Federal Constitution of Malaysia, citizenshipProvision, Part III]
-
A.
citizenshipContext
Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
-
B.
definedCitizenship
chosen
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
C.
citizenshipType
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
D.
allowedCitizenshipRights
Indicates that one entity grants or recognizes citizenship rights or privileges for another entity.
-
E.
citizenshipIssue
Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.