Triple
T29962556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish press |
E761088
|
entity |
| Predicate | notableStateFundedOutlet |
P149630
|
FINISHED |
| Object | RTÉ |
E331128
|
NE 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: RTÉ | Statement: [Irish press, notableStateFundedOutlet, RTÉ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStateFundedOutlet Context triple: [Irish press, notableStateFundedOutlet, RTÉ]
-
A.
notableOutlet
Indicates that an entity is a prominent or widely recognized source, channel, or venue through which another entity is presented, distributed, or publicized.
-
B.
majorOutletOf
Indicates that one entity serves as a primary distribution or sales channel for another entity’s products or services.
-
C.
notableDestinationOrganization
Indicates that an organization is a significant or prominent destination associated with the subject, such as a key place they visit, work with, or are connected to.
-
D.
notableDistributor
chosen
Indicates that an entity serves as a significant or prominent distributor for another entity.
-
E.
notableOrganizationWithin
Indicates that one organization is a prominent or significant entity operating within the scope, structure, or domain of another organization.
- F. None of above.
Provenance (4 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2721f1d86c8190b285e4a1225ac7c2 |
completed | June 8, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:29 p.m.