Triple
T7139462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publishers Weekly bestsellers list |
E166403
|
entity |
| Predicate | isTradeOriented |
P75064
|
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: [Publishers Weekly bestsellers list, isTradeOriented, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTradeOriented Context triple: [Publishers Weekly bestsellers list, isTradeOriented, true]
-
A.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
-
B.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
C.
tradeFocus
Indicates a primary emphasis on or specialization in a particular type of trade, transaction, or commercial activity within the relationship or context.
-
D.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
E.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7759a048190815689298befa8d7 |
completed | March 27, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:45 p.m.