Triple
T30478380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pear |
E775504
|
entity |
| Predicate | isUsedInPreserves |
P168587
|
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: [Pear, isUsedInPreserves, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedInPreserves Context triple: [Pear, isUsedInPreserves, true]
-
A.
usesPreservedFruit
chosen
Indicates that one entity incorporates preserved fruit as an ingredient or component in relation to another entity.
-
B.
containsPreservatives
Indicates that one entity (typically a product or substance) includes added preservatives within it.
-
C.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
-
D.
containsArtificialPreservatives
Indicates that something includes one or more non-natural chemical substances added to extend shelf life or maintain qualities like flavor, color, or texture.
-
E.
usesIngredient
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 8:12 p.m.