Triple
T29546970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian law |
E749655
|
entity |
| Predicate | governsImmigrationThrough |
P178139
|
FINISHED |
| Object | Immigration Act 1959/63 |
—
|
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: Immigration Act 1959/63 | Statement: [Malaysian law, governsImmigrationThrough, Immigration Act 1959/63]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsImmigrationThrough Context triple: [Malaysian law, governsImmigrationThrough, Immigration Act 1959/63]
-
A.
immigrationAuthority
Indicates that an entity has official power or responsibility to regulate, control, or make decisions about immigration-related matters concerning another entity.
-
B.
immigrationFramework
chosen
Indicates the overarching legal, policy, or procedural structure that governs how immigration-related actions and relationships are defined, managed, and regulated.
-
C.
immigrationFeature
Indicates that an entity possesses a characteristic, policy, or attribute specifically related to immigration.
-
D.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
E.
immigrationBackground
Indicates that an entity has a personal or familial history of migration from another country or region.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: April 28, 2026, 5:08 p.m.