Triple
T20332845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Report |
E492526
|
entity |
| Predicate | producedByOrganizationType |
P21168
|
FINISHED |
| Object | non-governmental organization |
—
|
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: non-governmental organization | Statement: [World Report, producedByOrganizationType, non-governmental organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedByOrganizationType Context triple: [World Report, producedByOrganizationType, non-governmental organization]
-
A.
creatorOrganizationType
chosen
Indicates the type or category of organization that created or is responsible for the entity.
-
B.
responsibleOrganizationType
Indicates the type or category of organization that holds responsibility for a given action, resource, or obligation.
-
C.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
D.
productionCompanyType
Indicates the specific category or kind of production company associated with a given entity.
-
E.
notableOrganizationType
Indicates that an organization is recognized as being of a particular notable or significant type or category.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e886a08190952b828fedd2a411 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:22 a.m.