Triple
T28596146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MinervaNeue |
E723775
|
entity |
| Predicate | isDefaultSkinFor |
P64886
|
FINISHED |
| Object | Wikipedia mobile site |
—
|
NE NERFINISHED |
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: Wikipedia mobile site | Statement: [MinervaNeue, isDefaultSkinFor, Wikipedia mobile site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDefaultSkinFor Context triple: [MinervaNeue, isDefaultSkinFor, Wikipedia mobile site]
-
A.
hasSkin
Indicates that one entity possesses skin as a covering or outer tissue layer.
-
B.
isDefaultFor
chosen
Indicates that something serves as the standard or fallback option that is automatically applied or selected for a given entity or context unless another choice is explicitly specified.
-
C.
isThemedTo
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
-
D.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
E.
fruitSkinColor
Indicates the color of the outer skin or peel of a fruit.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:21 a.m.