Triple
T31438980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boggly Woods |
E802015
|
entity |
| Predicate | appearsInSeriesEntryNumber |
P191981
|
FINISHED |
| Object | second main Paper Mario console game |
—
|
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: second main Paper Mario console game | Statement: [Boggly Woods, appearsInSeriesEntryNumber, second main Paper Mario console game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInSeriesEntryNumber Context triple: [Boggly Woods, appearsInSeriesEntryNumber, second main Paper Mario console game]
-
A.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
B.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
C.
appearsInVersionOfSeries
Indicates that an entity appears in a specific version or edition of a broader series.
-
D.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
E.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
| PDg | Predicate description generation | batch_69fcf1b241888190a243f07051c71383 |
completed | May 7, 2026, 8:10 p.m. |
Created at: April 30, 2026, 9:04 p.m.