Triple
T15466068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Horn |
E372032
|
entity |
| Predicate | consumption |
P11941
|
FINISHED |
| Object | single-use item |
—
|
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: single-use item | Statement: [Super Horn, consumption, single-use item]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consumption Context triple: [Super Horn, consumption, single-use item]
-
A.
consumes
Indicates that one entity eats, drinks, or otherwise uses up another entity as a resource or nourishment.
-
B.
consumptionMethod
chosen
Indicates the manner or process by which something is consumed, used up, or ingested.
-
C.
primaryConsumptionContext
Indicates the main situation, setting, or context in which something is typically used, consumed, or experienced.
-
D.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
-
E.
conserves
Indicates that an entity protects, preserves, or maintains another entity or resource in its existing state, preventing loss, damage, or depletion.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:33 a.m.