Triple
T16369682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Orchid House |
E397530
|
entity |
| Predicate | hasSalesDescriptor |
P115460
|
FINISHED |
| Object | international bestseller |
—
|
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: international bestseller | Statement: [The Orchid House, hasSalesDescriptor, international bestseller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSalesDescriptor Context triple: [The Orchid House, hasSalesDescriptor, international bestseller]
-
A.
hasMarketingDescription
chosen
Indicates that an entity is associated with a textual marketing-oriented description used to promote or present it.
-
B.
hasRetailCharacteristic
Indicates that an entity possesses a specific attribute, feature, or quality relevant to retail contexts (such as pricing, packaging, or point-of-sale properties).
-
C.
isSoldIn
Indicates that a product or item is available for purchase within a specified location, market, or sales channel.
-
D.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
-
E.
hasTradeCharacteristic
Indicates that an entity possesses a specific trade-related attribute, quality, or feature.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff4021e88190ad093bab74cf82a4 |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.