Triple
T17366405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benincasa hispida |
E422198
|
entity |
| Predicate | fruitSurface |
P47694
|
FINISHED |
| Object | waxy coating |
—
|
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: waxy coating | Statement: [Benincasa hispida, fruitSurface, waxy coating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitSurface Context triple: [Benincasa hispida, fruitSurface, waxy coating]
-
A.
usesSurface
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
-
B.
surfaceBrand
Indicates that a surface or physical object bears, displays, or is marked with a particular brand or branding.
-
C.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
formerSurface
Indicates that one entity previously served as the surface or outer layer of another entity, but no longer does so.
-
E.
surfaceFeatureOf
chosen
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a50c9ec8190b518fdf80808af53 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.