Triple
T37698017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PubIt! |
E938979
|
entity |
| Predicate | hasSuccessorPlatform |
P102666
|
FINISHED |
| Object | Barnes & Noble Press |
—
|
NE NERFINISHED |
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: Barnes & Noble Press | Statement: [PubIt!, hasSuccessorPlatform, Barnes & Noble Press]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorPlatform Context triple: [PubIt!, hasSuccessorPlatform, Barnes & Noble Press]
-
A.
platformSuccessor
chosen
Indicates that one platform directly follows or replaces another in a sequence or evolution of platforms.
-
B.
hasModernSuccessor
Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
-
C.
predecessorPlatformCode
Indicates that one platform’s code identifies a platform that directly preceded another in a sequence or version lineage.
-
D.
successorPlatformBrand
Indicates that one platform brand directly follows and replaces another in a product or generational sequence.
-
E.
hasFlagshipSuccessor
Indicates that one entity serves as the primary or leading successor to another, typically replacing it as the main or flagship version, product, or instance.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
Created at: May 3, 2026, 4:18 p.m.