Triple
T7139463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publishers Weekly bestsellers list |
E166403
|
entity |
| Predicate | isConsumerOriented |
P75065
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Publishers Weekly bestsellers list, isConsumerOriented, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConsumerOriented Context triple: [Publishers Weekly bestsellers list, isConsumerOriented, false]
-
A.
isConsumedIn
Indicates that one entity is used up, ingested, or otherwise expended as part of a process, event, or action involving another entity.
-
B.
consumptionMethod
Indicates the manner or process by which something is consumed, used up, or ingested.
-
C.
orientadoA
Indicates that something is directed, aimed, or oriented toward a particular target, goal, or reference.
-
D.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
E.
consumes
Indicates that one entity eats, drinks, or otherwise uses up another entity as a resource or nourishment.
- 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.