Triple
T28630273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Wikipedia |
E724621
|
entity |
| Predicate | supportsRecentChangesFeed |
P82604
|
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: [Greek Wikipedia, supportsRecentChangesFeed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRecentChangesFeed Context triple: [Greek Wikipedia, supportsRecentChangesFeed, true]
-
A.
feedsOn
Indicates that one entity obtains nourishment by consuming another entity as food.
-
B.
feedSupport
Indicates providing resources, assistance, or nourishment that sustains or enables another entity or process.
-
C.
hasRSSFeeds
chosen
Indicates that an entity provides or is associated with one or more RSS feeds for distributing its content or updates.
-
D.
supportsSince
Indicates that one entity has been providing support to another entity starting from a specific point in time and continuing thereafter.
-
E.
supportsHistory
Indicates that one entity provides assistance, endorsement, or foundational backing to another entity’s historical context, development, or continuity.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a01a534a8908190aa888d6be5deb824 |
completed | May 11, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_6a01a507c1f081909ff6abc5575db0bb |
completed | May 11, 2026, 9:44 a.m. |
Created at: April 28, 2026, 4:37 a.m.