Triple
T10029694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahang State Legislative Assembly |
E204820
|
entity |
| Predicate | electoralDivisionType |
P15309
|
FINISHED |
| Object | state constituency |
—
|
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: state constituency | Statement: [Pahang State Legislative Assembly, electoralDivisionType, state constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralDivisionType Context triple: [Pahang State Legislative Assembly, electoralDivisionType, state constituency]
-
A.
electoralDistrictType
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
B.
constituencyType
chosen
Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
-
C.
censusDivisionType
Indicates the classification of a census division according to its official administrative or statistical type.
-
D.
federalElectoralDivision
Indicates that an entity is associated with, belongs to, or is located within a specific federal electoral division used for national parliamentary representation.
-
E.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde69bd08190a5c79ec8487dfff6 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.