Triple
T4151432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Forest ham |
E89913
|
entity |
| Predicate | isCommonlySoldAs |
P43919
|
FINISHED |
| Object | whole bone-in ham |
—
|
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: whole bone-in ham | Statement: [Black Forest ham, isCommonlySoldAs, whole bone-in ham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommonlySoldAs Context triple: [Black Forest ham, isCommonlySoldAs, whole bone-in ham]
-
A.
isTypicallySoldAs
chosen
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
-
B.
alsoSoldAs
Indicates that one item is marketed or available under an alternative name, label, or product identity.
-
C.
isSoldIn
Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
-
D.
isOftenPurchasedAs
Indicates that one item is frequently bought together with, or in conjunction with, another item.
-
E.
isAlsoUsedAs
Indicates that something serves an additional function or role beyond its primary one.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.