Triple
T21209169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 Gum |
E522672
|
entity |
| Predicate | isOralCareRelated |
P143558
|
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: [5 Gum, isOralCareRelated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOralCareRelated Context triple: [5 Gum, isOralCareRelated, true]
-
A.
isPrimarilyOral
Indicates that the primary mode of expression, communication, or transmission is spoken rather than written or signed.
-
B.
toothUsedBy
Indicates that a tooth is utilized or employed by a particular entity (such as an organism or tool) for some function or action.
-
C.
hasOralDiscFunction
Indicates that an entity possesses a specific functional role or capability associated with its oral disc.
-
D.
cavityUse
Indicates the use or functional purpose assigned to a particular cavity or hollow space in or on an entity.
-
E.
isOralFormOf
Indicates that one entity is the oral (by-mouth) dosage form or version of another entity, typically a drug or medicinal product.
- F. None of above. chosen
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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73436eb4c819082e05caf1ba52672 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:26 p.m.