Triple
T15584577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chewed Up |
E374583
|
entity |
| Predicate | hasASIN |
P119309
|
FINISHED |
| Object | B001GCUK0M |
—
|
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: B001GCUK0M | Statement: [Chewed Up, hasASIN, B001GCUK0M]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasASIN Context triple: [Chewed Up, hasASIN, B001GCUK0M]
-
A.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
-
B.
isbn13
Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
-
C.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
D.
hasISIN
Indicates that a financial instrument is associated with a specific International Securities Identification Number (ISIN) that uniquely identifies it.
-
E.
isOftenPurchasedAs
Indicates that one item is frequently bought together with, or in conjunction with, another item.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:11 a.m.