Triple
T10119709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysia Stadium Corporation |
E223252
|
entity |
| Predicate | isGovernmentLinked |
P83081
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Malaysia Stadium Corporation, isGovernmentLinked, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGovernmentLinked Context triple: [Malaysia Stadium Corporation, isGovernmentLinked, true]
-
A.
isGovernmentRelated
chosen
Indicates that an entity has a direct or significant connection to a government, its agencies, functions, or official activities.
-
B.
isGovernmentFlag
Indicates that something is the official flag used by a government as its national or state symbol.
-
C.
associatedWithGovernmentBranch
Indicates that an entity has a formal connection, role, or affiliation with a specific branch of government.
-
D.
isLinkedPoliticallyTo
Indicates that there exists a political connection, alliance, or association between the entities, such that their political actions, interests, or affiliations are related or coordinated.
-
E.
isPartOfGovernment
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2659cdc8190b3ba91426bda55ec |
completed | April 2, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:04 p.m.