Triple
T21752686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erikli |
E536952
|
entity |
| Predicate | isPackagedGood |
P54065
|
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: [Erikli, isPackagedGood, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPackagedGood Context triple: [Erikli, isPackagedGood, true]
-
A.
isPackaged
Indicates that one entity is enclosed, wrapped, or otherwise contained within another entity for storage, protection, or transport.
-
B.
isPackagedFor
Indicates that one entity is prepared, contained, or wrapped specifically for use, sale, or distribution in connection with another entity.
-
C.
isPackagedBeverage
chosen
Indicates that an item is a beverage that has been contained or sealed within some form of packaging for distribution or consumption.
-
D.
isFreightIntensive
Indicates that an activity, process, or operation involves a high volume or intensity of freight movement or transportation.
-
E.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.