Triple
T37549083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puteri MIC |
E933543
|
entity |
| Predicate | nationalityFocus |
P57510
|
FINISHED |
| Object | Malaysian |
—
|
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: Malaysian | Statement: [Puteri MIC, nationalityFocus, Malaysian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityFocus Context triple: [Puteri MIC, nationalityFocus, Malaysian]
-
A.
nationalityTheme
Indicates that an entity is thematically associated with, or centrally involves, a particular nationality or country.
-
B.
nationalityPresentation
Indicates that one entity presents, displays, or identifies the nationality of another entity.
-
C.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
D.
nationalityInWorld
chosen
Indicates that an entity has a specific national affiliation or citizenship within the world context.
-
E.
nationalityInPlay
Indicates that, within the context of a play or performance, a character is portrayed as having a particular nationality.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: May 3, 2026, 4:17 p.m.